86 classes matched your search criteria.

Summer 2021  |  STAT 5021 Section 001: Statistical Analysis (81639)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Enrollment Requirements:
Exclude fr or soph 5000 level courses
Meets With:
STAT 3011 Section 001
Times and Locations:
Regular Academic Session
 
06/07/2021 - 07/30/2021
Mon, Tue, Wed, Thu 11:15AM - 12:05PM
UMTC, East Bank
Enrollment Status:
Open (0 of 25 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/81639/1215
Instructor Supplied Information Last Updated:
4 September 2007

Summer 2021  |  STAT 5021 Section 002: Statistical Analysis (81640)

Instructor(s)
No instructor assigned
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
06/07/2021 - 07/30/2021
Fri 11:15AM - 12:05PM
UMTC, East Bank
Auto Enrolls With:
Section 001
Enrollment Status:
Open (0 of 25 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/81640/1215
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2021  |  STAT 5021 Section 001: Statistical Analysis (48424)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Enrollment Requirements:
Exclude fr or soph 5000 level courses
Times and Locations:
Regular Academic Session
 
01/19/2021 - 05/03/2021
Mon, Wed, Fri 10:10AM - 11:00AM
Off Campus
UMN REMOTE
Enrollment Status:
Open (10 of 40 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/48424/1213
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2021  |  STAT 5021 Section 002: Statistical Analysis (48425)

Instructor(s)
No instructor assigned
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
01/19/2021 - 05/03/2021
Thu 10:10AM - 11:00AM
Off Campus
UMN REMOTE
Auto Enrolls With:
Section 001
Enrollment Status:
Open (10 of 40 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/48425/1213
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2020  |  STAT 5021 Section 001: Statistical Analysis (13521)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Enrollment Requirements:
Exclude fr or soph 5000 level courses
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Mon, Wed, Fri 10:10AM - 11:00AM
Off Campus
UMN REMOTE
Enrollment Status:
Open (23 of 52 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/13521/1209
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2020  |  STAT 5021 Section 003: Statistical Analysis (13523)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Tue 09:05AM - 09:55AM
UMTC, East Bank
Auto Enrolls With:
Section 001
Enrollment Status:
Open (23 of 52 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/13523/1209
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2020  |  STAT 5021 Section 008: Statistical Analysis (16978)

Instructor(s)
No instructor assigned
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
09:05AM - 09:55AM
UMTC, St Paul
Auto Enrolls With:
Section 007
Enrollment Status:
Open (0 of 20 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/16978/1209
Instructor Supplied Information Last Updated:
4 September 2007

Summer 2020  |  STAT 5021 Section 001: Statistical Analysis (83065)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Meets With:
STAT 3011 Section 001
Times and Locations:
Regular Academic Session
 
06/08/2020 - 07/31/2020
Mon, Tue, Wed, Thu 11:15AM - 12:05PM
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (3 of 25 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/83065/1205
Instructor Supplied Information Last Updated:
4 September 2007

Summer 2020  |  STAT 5021 Section 002: Statistical Analysis (83066)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
06/08/2020 - 07/31/2020
Fri 11:15AM - 12:05PM
Off Campus
Virtual Rooms ONLINEONLY
Auto Enrolls With:
Section 001
Enrollment Status:
Open (3 of 25 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/83066/1205
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2020  |  STAT 5021 Section 001: Statistical Analysis (51907)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/21/2020 - 05/04/2020
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Tate Laboratory of Physics B65
Enrollment Status:
Open (14 of 40 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/51907/1203
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2020  |  STAT 5021 Section 002: Statistical Analysis (51908)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/21/2020 - 05/04/2020
Thu 09:05AM - 09:55AM
UMTC, East Bank
Kolthoff Hall 139
Auto Enrolls With:
Section 001
Enrollment Status:
Open (14 of 40 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/51908/1203
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2019  |  STAT 5021 Section 001: Statistical Analysis (16846)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Mechanical Engineering 108
Enrollment Status:
Open (22 of 52 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/16846/1199
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2019  |  STAT 5021 Section 002: Statistical Analysis (16847)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Tue 08:00AM - 08:50AM
UMTC, East Bank
Kenneth H Keller Hall 3-111
Auto Enrolls With:
Section 001
Enrollment Status:
Open (4 of 26 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/16847/1199
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2019  |  STAT 5021 Section 003: Statistical Analysis (16848)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Tue 09:05AM - 09:55AM
UMTC, East Bank
Ford Hall 151
Auto Enrolls With:
Section 001
Enrollment Status:
Open (18 of 26 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/16848/1199
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2019  |  STAT 5021 Section 008: Statistical Analysis (20601)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Tue 09:05AM - 09:55AM
UMTC, St Paul
Ruttan Hall B22
Auto Enrolls With:
Section 007
Enrollment Status:
Open (0 of 20 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/20601/1199
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2019  |  STAT 5021 Section 883: Statistical Analysis (20036)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
UNITE Distributed Learning
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Mon, Wed, Fri 10:10AM - 11:00AM
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Closed (1 of 0 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Instruction Mode: Web based, online course. REGISTRATION MUST BE PROCESSED THROUGH UNITE DISTRIBUTED LEARNING. For computer requirements and registration forms see WWW.UNITE.UMN.EDU. Registration will be through UNITE Distributed Learning; which means a service fee of $100/per credit will be added to a student's University account along with tuition & college fees. All homework and exams are due on the same date as for on-campus students. Exams need to be proctored. Questions: 612-624-2332 / unite@umn.edu.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/20036/1199
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2019  |  STAT 5021 Section 884: Statistical Analysis (20037)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
UNITE Distributed Learning
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Tue 08:00AM - 08:50AM
Off Campus
Virtual Rooms ONLINEONLY
Auto Enrolls With:
Section 883
Enrollment Status:
Closed (1 of 0 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Instruction Mode: Web based, online course. REGISTRATION MUST BE PROCESSED THROUGH UNITE DISTRIBUTED LEARNING. For computer requirements and registration forms see WWW.UNITE.UMN.EDU. Registration will be through UNITE Distributed Learning; which means a service fee of $100/per credit will be added to a student's University account along with tuition & college fees. All homework and exams are due on the same date as for on-campus students. Exams need to be proctored. Questions: 612-624-2332 / unite@umn.edu.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/20037/1199
Instructor Supplied Information Last Updated:
4 September 2007

Summer 2019  |  STAT 5021 Section 001: Statistical Analysis (87490)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Meets With:
STAT 3011 Section 001
Times and Locations:
Regular Academic Session
 
06/10/2019 - 08/02/2019
Mon, Tue, Wed, Thu 11:15AM - 12:05PM
UMTC, East Bank
Amundson Hall B75
Enrollment Status:
Open (2 of 25 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/87490/1195
Instructor Supplied Information Last Updated:
4 September 2007

Summer 2019  |  STAT 5021 Section 002: Statistical Analysis (87491)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
06/10/2019 - 08/02/2019
Fri 11:15AM - 12:05PM
UMTC, East Bank
Akerman Hall 227
Auto Enrolls With:
Section 001
Enrollment Status:
Open (2 of 25 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/87491/1195
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2019  |  STAT 5021 Section 001: Statistical Analysis (52032)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/22/2019 - 05/06/2019
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Civil Engineering Building 212
Enrollment Status:
Open (28 of 50 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/52032/1193
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2019  |  STAT 5021 Section 002: Statistical Analysis (52033)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/22/2019 - 05/06/2019
Thu 09:05AM - 09:55AM
UMTC, East Bank
Vincent Hall 206
Auto Enrolls With:
Section 001
Enrollment Status:
Open (10 of 25 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/52033/1193
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2019  |  STAT 5021 Section 003: Statistical Analysis (53159)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/22/2019 - 05/06/2019
Thu 10:10AM - 11:00AM
UMTC, East Bank
Vincent Hall 206
Auto Enrolls With:
Section 001
Enrollment Status:
Open (18 of 25 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/53159/1193
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2018  |  STAT 5021 Section 001: Statistical Analysis (17077)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Nicholson Hall 125
Enrollment Status:
Open (30 of 52 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/17077/1189
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2018  |  STAT 5021 Section 002: Statistical Analysis (17078)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Tue 08:00AM - 08:50AM
UMTC, East Bank
Ford Hall 115
Auto Enrolls With:
Section 001
Enrollment Status:
Open (17 of 26 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/17078/1189
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2018  |  STAT 5021 Section 003: Statistical Analysis (17079)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Tue 09:05AM - 09:55AM
UMTC, East Bank
Akerman Hall 211
Auto Enrolls With:
Section 001
Enrollment Status:
Open (13 of 26 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/17079/1189
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2018  |  STAT 5021 Section 008: Statistical Analysis (21371)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Tue 09:05AM - 09:55AM
UMTC, St Paul
Peters Hall 155
Auto Enrolls With:
Section 007
Enrollment Status:
Closed (0 of 20 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/21371/1189
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2018  |  STAT 5021 Section 001: Statistical Analysis (48767)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Rapson Hall 43
Enrollment Status:
Open (25 of 50 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/48767/1183
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2018  |  STAT 5021 Section 002: Statistical Analysis (48768)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Thu 09:05AM - 09:55AM
UMTC, East Bank
Vincent Hall 1
Auto Enrolls With:
Section 001
Enrollment Status:
Open (9 of 25 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/48768/1183
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2018  |  STAT 5021 Section 003: Statistical Analysis (49920)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Thu 10:10AM - 11:00AM
UMTC, East Bank
Vincent Hall 206
Auto Enrolls With:
Section 001
Enrollment Status:
Open (16 of 25 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/49920/1183
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2018  |  STAT 5021 Section 004: Statistical Analysis (68783)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Mon, Wed, Fri 09:35AM - 10:25AM
UMTC, St Paul
Peters Hall 145
Enrollment Status:
Open (11 of 25 seats filled)
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/68783/1183
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2018  |  STAT 5021 Section 005: Statistical Analysis (68784)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Tue 09:35AM - 10:25AM
UMTC, St Paul
Ruttan Hall B30
Auto Enrolls With:
Section 004
Enrollment Status:
Open (11 of 25 seats filled)
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/68784/1183
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2017  |  STAT 5021 Section 001: Statistical Analysis (13965)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Mechanical Engineering 212
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/13965/1179
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2017  |  STAT 5021 Section 002: Statistical Analysis (13966)

Instructor(s)
Yun Li (TA)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Tue 08:00AM - 08:50AM
UMTC, East Bank
Mechanical Engineering 102
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/13966/1179
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2017  |  STAT 5021 Section 003: Statistical Analysis (13967)

Instructor(s)
Yun Li (TA)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Tue 09:05AM - 09:55AM
UMTC, East Bank
Akerman Hall 313
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/13967/1179
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2017  |  STAT 5021 Section 007: Statistical Analysis (36282)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Mon, Wed, Fri 09:05AM - 09:55AM
UMTC, St Paul
Ruttan Hall B25
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/36282/1179
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2017  |  STAT 5021 Section 008: Statistical Analysis (36283)

Instructor(s)
No instructor assigned
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Tue 09:05AM - 09:55AM
UMTC, St Paul
Ruttan Hall B26
Auto Enrolls With:
Section 007
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/36283/1179
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2017  |  STAT 5021 Section 883: Statistical Analysis (17667)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
UNITE Distributed Learning
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Mon, Wed, Fri 10:10AM - 11:00AM
Off Campus
Virtual Rooms ONLINEONLY
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Instruction Mode: Web based, online course. REGISTRATION MUST BE PROCESSED THROUGH UNITE DISTRIBUTED LEARNING. For computer requirements and registration forms see WWW.UNITE.UMN.EDU. Registration will be through UNITE Distributed Learning; which means a service fee of $100/per credit will be added to a student's University account along with tuition & college fees. All homework and exams are due on the same date as for on-campus students. Exams need to be proctored. Questions: 612-624-2332 / unite@umn.edu.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/17667/1179
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2017  |  STAT 5021 Section 001: Statistical Analysis (49152)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/17/2017 - 05/05/2017
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Rapson Hall 56
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/49152/1173
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2017  |  STAT 5021 Section 002: Statistical Analysis (49153)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/17/2017 - 05/05/2017
Thu 09:05AM - 09:55AM
UMTC, East Bank
Ford Hall 151
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/49153/1173
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2017  |  STAT 5021 Section 003: Statistical Analysis (50383)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/17/2017 - 05/05/2017
Thu 10:10AM - 11:00AM
UMTC, East Bank
Vincent Hall 206
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/50383/1173
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2017  |  STAT 5021 Section 004: Statistical Analysis (70743)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/17/2017 - 05/05/2017
Mon, Wed, Fri 10:40AM - 11:30AM
UMTC, St Paul
Ruttan Hall B26
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/70743/1173
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2017  |  STAT 5021 Section 005: Statistical Analysis (70819)

Instructor(s)
Class Component:
Laboratory
Credits:
4 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/17/2017 - 05/05/2017
Thu 10:40AM - 11:30AM
UMTC, St Paul
Ruttan Hall B42
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/70819/1173
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2016  |  STAT 5021 Section 001: Statistical Analysis (14116)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Kenneth H Keller Hall 3-115
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/14116/1169
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2016  |  STAT 5021 Section 002: Statistical Analysis (14117)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Tue 08:00AM - 08:50AM
UMTC, East Bank
Vincent Hall 211
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/14117/1169
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2016  |  STAT 5021 Section 003: Statistical Analysis (14118)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Tue 09:05AM - 09:55AM
UMTC, East Bank
Mechanical Engineering 102
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/14118/1169
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2016  |  STAT 5021 Section 883: Statistical Analysis (18683)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
UNITE Distributed Learning
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Mon, Wed, Fri 10:10AM - 11:00AM
Off Campus
Virtual Rooms ONLINEONLY
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Instruction Mode: Web based, online course. REGISTRATION MUST BE PROCESSED THROUGH UNITE DISTRIBUTED LEARNING. For computer requirements and registration forms see WWW.UNITE.UMN.EDU. Registration will be through UNITE Distributed Learning; which means a service fee of $100/per credit will be added to a student's University account along with tuition & college fees. All homework and exams are due on the same date as for on-campus students. Exams need to be proctored. Questions: 612-624-2332 / unite@umn.edu.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/18683/1169
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2016  |  STAT 5021 Section 001: Statistical Analysis (46247)

Instructor(s)
No instructor assigned
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/19/2016 - 05/06/2016
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Akerman Hall 225
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/46247/1163
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2016  |  STAT 5021 Section 002: Statistical Analysis (46248)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/19/2016 - 05/06/2016
Thu 09:05AM - 09:55AM
UMTC, East Bank
Vincent Hall 213
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/46248/1163
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2016  |  STAT 5021 Section 003: Statistical Analysis (50484)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/19/2016 - 05/06/2016
Thu 10:10AM - 11:00AM
UMTC, East Bank
Amundson Hall 104
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/50484/1163
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2016  |  STAT 5021 Section 004: Statistical Analysis (49543)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/19/2016 - 05/06/2016
Mon, Wed, Fri 02:30PM - 03:20PM
UMTC, East Bank
Mechanical Engineering 102
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/49543/1163
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2016  |  STAT 5021 Section 005: Statistical Analysis (54055)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/19/2016 - 05/06/2016
Thu 02:30PM - 03:20PM
UMTC, East Bank
Vincent Hall 313
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/54055/1163
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2016  |  STAT 5021 Section 006: Statistical Analysis (55102)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
01/19/2016 - 05/06/2016
Thu 03:35PM - 04:25PM
UMTC, East Bank
Ford Hall 155
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/55102/1163
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2015  |  STAT 5021 Section 001: Statistical Analysis (10699)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Kenneth H Keller Hall 3-115
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/10699/1159
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2015  |  STAT 5021 Section 002: Statistical Analysis (10700)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Tue 08:00AM - 08:50AM
UMTC, East Bank
Vincent Hall 2
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/10700/1159
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2015  |  STAT 5021 Section 003: Statistical Analysis (10701)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Tue 09:05AM - 09:55AM
UMTC, East Bank
Vincent Hall 2
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/10701/1159
Instructor Supplied Information Last Updated:
4 September 2007

Summer 2015  |  STAT 5021 Section 001: Statistical Analysis (84136)

Instructor(s)
Class Component:
Lecture
Credits:
4 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
06/15/2015 - 08/07/2015
Mon, Tue, Wed, Thu 09:05AM - 11:00AM
UMTC, East Bank
Ford Hall 155
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/84136/1155
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2015  |  STAT 5021 Section 001: Statistical Analysis (46047)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/20/2015 - 05/08/2015
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Akerman Hall 225
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/46047/1153
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2015  |  STAT 5021 Section 002: Statistical Analysis (46048)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/20/2015 - 05/08/2015
Thu 09:05AM - 09:55AM
UMTC, East Bank
Vincent Hall 213
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/46048/1153
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2015  |  STAT 5021 Section 003: Statistical Analysis (50586)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/20/2015 - 05/08/2015
Thu 10:10AM - 11:00AM
UMTC, East Bank
Vincent Hall 213
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/50586/1153
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2015  |  STAT 5021 Section 004: Statistical Analysis (49538)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/20/2015 - 05/08/2015
Mon, Wed, Fri 02:30PM - 03:20PM
UMTC, East Bank
Burton Hall 123
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/49538/1153
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2015  |  STAT 5021 Section 005: Statistical Analysis (54595)

Instructor(s)
Tao Xu (TA)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/20/2015 - 05/08/2015
Thu 02:30PM - 03:20PM
UMTC, East Bank
Ford Hall B29
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/54595/1153
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2015  |  STAT 5021 Section 006: Statistical Analysis (55779)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/20/2015 - 05/08/2015
Thu 03:35PM - 04:25PM
UMTC, East Bank
Rapson Hall 56
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: Credit will not be granted if credit has been received for: : 3011; College algebra or instr consent; Stat course recommended
Class Notes:
Remaining reserve seats are released the first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/55779/1153
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2014  |  STAT 5021 Section 001: Statistical Analysis (10764)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/02/2014 - 12/10/2014
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Burton Hall 120
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/10764/1149
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2014  |  STAT 5021 Section 002: Statistical Analysis (10765)

Instructor(s)
Yu Zhou (TA)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/02/2014 - 12/10/2014
Tue 08:00AM - 08:50AM
UMTC, East Bank
Nicholson Hall 335
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/10765/1149
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2014  |  STAT 5021 Section 003: Statistical Analysis (10766)

Instructor(s)
Yu Zhou (TA)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/02/2014 - 12/10/2014
Tue 09:05AM - 09:55AM
UMTC, East Bank
Lind Hall 203
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/10766/1149
Instructor Supplied Information Last Updated:
4 September 2007

Summer 2014  |  STAT 5021 Section 001: Statistical Analysis (85688)

Instructor(s)
Class Component:
Lecture Workaround
Credits:
4 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
06/16/2014 - 08/08/2014
Mon, Tue, Wed, Thu 09:05AM - 11:00AM
UMTC, East Bank
Murphy Hall 228
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/85688/1145
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2014  |  STAT 5021 Section 001: Statistical Analysis (50730)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/21/2014 - 05/09/2014
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Akerman Hall 225
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/50730/1143
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2014  |  STAT 5021 Section 002: Statistical Analysis (50731)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/21/2014 - 05/09/2014
Thu 09:05AM - 09:55AM
UMTC, East Bank
Ford Hall 115
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/50731/1143
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2014  |  STAT 5021 Section 003: Statistical Analysis (55466)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/21/2014 - 05/09/2014
Thu 10:10AM - 11:00AM
UMTC, East Bank
Ford Hall 151
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/55466/1143
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2014  |  STAT 5021 Section 004: Statistical Analysis (54349)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/21/2014 - 05/09/2014
Mon 06:20PM - 08:00PM
UMTC, St Paul
Ruttan Hall 143
 
01/21/2014 - 05/09/2014
Wed 06:20PM - 07:10PM
UMTC, St Paul
Ruttan Hall 143
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/54349/1143
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2014  |  STAT 5021 Section 005: Statistical Analysis (59684)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/21/2014 - 05/09/2014
Wed 05:15PM - 06:05PM
UMTC, St Paul
Ruttan Hall B26
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/59684/1143
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2014  |  STAT 5021 Section 006: Statistical Analysis (60980)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/21/2014 - 05/09/2014
Wed 07:25PM - 08:15PM
UMTC, St Paul
Ruttan Hall B22
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/60980/1143
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2013  |  STAT 5021 Section 001: Statistical Analysis (16415)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Armory Building 116
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/16415/1139
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2013  |  STAT 5021 Section 002: Statistical Analysis (16416)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Tue 08:00AM - 08:50AM
UMTC, East Bank
Akerman Hall 227
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/16416/1139
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2013  |  STAT 5021 Section 003: Statistical Analysis (16417)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Tue 09:05AM - 09:55AM
UMTC, East Bank
Akerman Hall 227
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/16417/1139
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2013  |  STAT 5021 Section 004: Statistical Analysis (16418)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Mon, Wed, Fri 11:45AM - 12:35PM
UMTC, St Paul
McNeal Hall 33
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/16418/1139
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2013  |  STAT 5021 Section 005: Statistical Analysis (16419)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Thu 03:00PM - 03:50PM
UMTC, St Paul
Learning & Environmental Sci 220
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/16419/1139
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2013  |  STAT 5021 Section 006: Statistical Analysis (21207)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Thu 01:55PM - 02:45PM
UMTC, St Paul
Learning & Environmental Sci 220
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/21207/1139
Instructor Supplied Information Last Updated:
4 September 2007

Fall 2013  |  STAT 5021 Section 007: Statistical Analysis (21208)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Thu 12:50PM - 01:40PM
UMTC, St Paul
Learning & Environmental Sci 220
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Reserve seats will be released August 29.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/21208/1139
Instructor Supplied Information Last Updated:
4 September 2007

Summer 2013  |  STAT 5021 Section 001: Statistical Analysis (86265)

Instructor(s)
Class Component:
Lecture Workaround
Credits:
4 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
06/17/2013 - 08/09/2013
Mon, Tue, Wed, Thu 09:05AM - 11:00AM
UMTC, East Bank
Civil Engineering Building 213
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/86265/1135
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2013  |  STAT 5021 Section 001: Statistical Analysis (45631)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/22/2013 - 05/10/2013
Mon, Wed, Fri 10:10AM - 11:00AM
UMTC, East Bank
Akerman Hall 225
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/45631/1133
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2013  |  STAT 5021 Section 002: Statistical Analysis (45632)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/22/2013 - 05/10/2013
Thu 09:05AM - 09:55AM
UMTC, East Bank
Vincent Hall 206
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Remaining reserve seats are released on the Friday before first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/45632/1133
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2013  |  STAT 5021 Section 003: Statistical Analysis (50600)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/22/2013 - 05/10/2013
Thu 10:10AM - 11:00AM
UMTC, East Bank
Ford Hall 150
Auto Enrolls With:
Section 001
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Remaining reserve seats are released on the Friday before first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/50600/1133
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2013  |  STAT 5021 Section 004: Statistical Analysis (49449)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/22/2013 - 05/10/2013
Mon 06:20PM - 08:00PM
UMTC, St Paul
Ruttan Hall B25
 
01/22/2013 - 05/10/2013
Wed 06:20PM - 07:10PM
UMTC, St Paul
Ruttan Hall B25
Also Offered:
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/49449/1133
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2013  |  STAT 5021 Section 005: Statistical Analysis (55068)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/22/2013 - 05/10/2013
Wed 05:15PM - 06:05PM
UMTC, St Paul
Learning & Environmental Sci 220
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Remaining reserve seats are released on the Friday before first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/55068/1133
Instructor Supplied Information Last Updated:
4 September 2007

Spring 2013  |  STAT 5021 Section 006: Statistical Analysis (56500)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
01/22/2013 - 05/10/2013
Wed 07:25PM - 08:15PM
UMTC, St Paul
Learning & Environmental Sci 220
Auto Enrolls With:
Section 004
Course Catalog Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
Class Notes:
Remaining reserve seats are released on the Friday before first day of classes.
Class Description:
The primary audience for this course is graduate students in non-statistics- major programs who need statistical competence. Typical needs would be the analysis of data using common statistical methods, the design of single-factor experiments and the ability to read journal articles and asses their statistical content critically. After completion of the course, students are able to carry out one-and-two sample tests, set up confidence intervals for means, proportions and differences in means and proportions. They can fit single-predictor regressions and one-way analysis of variance, along with checks of the model assumptions underlying theses methods. The course includes a brief non-calculus introduction to probability theory and statistical distributions.
Class Format:
50% Lecture
25% Discussion
25% Laboratory
Textbooks:
https://bookstores.umn.edu/course-lookup/56500/1133
Instructor Supplied Information Last Updated:
4 September 2007

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