4 classes matched your search criteria.

Spring 2021  |  EPSY 3264 Section 001: Basic and Applied Statistics (46940)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Times and Locations:
Regular Academic Session
 
01/19/2021 - 05/03/2021
Mon, Wed 09:45AM - 11:00AM
Off Campus
UMN REMOTE
Enrollment Status:
Open (42 of 45 seats filled)
Also Offered:
Course Catalog Description:
Introductory statistics. Emphasizes understanding/applying statistical concepts/procedures. Visual/quantitative methods for presenting/analyzing data, common descriptive indices for univariate/bivariate data. Inferential techniques.
Class Notes:
Section 001 is a remote synchronous section that will meet every Monday and Wednesday from 9:45am - 11:00am central time via Zoom. Students will be expected to attend and participate in the class sessions. Contact the instructor for more information (chova001@umn.edu).
Class Description:
This course, which is designed for undergraduate students interested in a basic introduction to statistical methods, covers a variety of topics in descriptive and inferential statistics. Students will learn how to collect, organize, graph and analyze data, and they will learn about topics such as sampling, normal distributions, probability, correlation, regressioon, and tests of significance. Computer lab sessions are a part of the course and students will become familiar with statistical software that can be used to analyze data. A variety of teaching methods, including lecture, small and large group discussions, in-class activities, and computer lab work will be used to explain introductory statistical topics.
Grading:
5% Reports/Papers
20% Special Projects
50% Quizzes
5% Class Participation
20% Problem Solving
Exam Format:
Multiple choice and short answer
Class Format:
10% Lecture
20% Discussion
50% Laboratory
20% Other Style In-class activities
Workload:
15 Pages Reading Per Week
20 Pages Writing Per Term
4 Exam(s)
2 Paper(s)
Other Workload: One hour per week of work using statistical software
Textbooks:
https://bookstores.umn.edu/course-lookup/46940/1213
Instructor Supplied Information Last Updated:
21 May 2007

Spring 2021  |  EPSY 3264 Section 002: Basic and Applied Statistics (47134)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Times and Locations:
Regular Academic Session
 
01/19/2021 - 05/03/2021
Tue, Thu 09:45AM - 11:00AM
Off Campus
UMN REMOTE
Enrollment Status:
Closed (45 of 45 seats filled)
Also Offered:
Course Catalog Description:
Introductory statistics. Emphasizes understanding/applying statistical concepts/procedures. Visual/quantitative methods for presenting/analyzing data, common descriptive indices for univariate/bivariate data. Inferential techniques.
Class Description:
This course, which is designed for undergraduate students interested in a basic introduction to statistical methods, covers a variety of topics in descriptive and inferential statistics. Students will learn how to collect, organize, graph and analyze data, and they will learn about topics such as sampling, normal distributions, probability, correlation, regressioon, and tests of significance. Computer lab sessions are a part of the course and students will become familiar with statistical software that can be used to analyze data. A variety of teaching methods, including lecture, small and large group discussions, in-class activities, and computer lab work will be used to explain introductory statistical topics.
Grading:
5% Reports/Papers
20% Special Projects
50% Quizzes
5% Class Participation
20% Problem Solving
Exam Format:
Multiple choice and short answer
Class Format:
10% Lecture
20% Discussion
50% Laboratory
20% Other Style In-class activities
Workload:
15 Pages Reading Per Week
20 Pages Writing Per Term
4 Exam(s)
2 Paper(s)
Other Workload: One hour per week of work using statistical software
Textbooks:
https://bookstores.umn.edu/course-lookup/47134/1213
Instructor Supplied Information Last Updated:
21 May 2007

Spring 2021  |  EPSY 3264 Section 003: Basic and Applied Statistics (47170)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Times and Locations:
Regular Academic Session
 
01/19/2021 - 05/03/2021
Tue, Thu 01:00PM - 02:15PM
Off Campus
UMN REMOTE
Enrollment Status:
Open (43 of 45 seats filled)
Also Offered:
Course Catalog Description:
Introductory statistics. Emphasizes understanding/applying statistical concepts/procedures. Visual/quantitative methods for presenting/analyzing data, common descriptive indices for univariate/bivariate data. Inferential techniques.
Class Description:
This course, which is designed for undergraduate students interested in a basic introduction to statistical methods, covers a variety of topics in descriptive and inferential statistics. Students will learn how to collect, organize, graph and analyze data, and they will learn about topics such as sampling, normal distributions, probability, correlation, regressioon, and tests of significance. Computer lab sessions are a part of the course and students will become familiar with statistical software that can be used to analyze data. A variety of teaching methods, including lecture, small and large group discussions, in-class activities, and computer lab work will be used to explain introductory statistical topics.
Grading:
5% Reports/Papers
20% Special Projects
50% Quizzes
5% Class Participation
20% Problem Solving
Exam Format:
Multiple choice and short answer
Class Format:
10% Lecture
20% Discussion
50% Laboratory
20% Other Style In-class activities
Workload:
15 Pages Reading Per Week
20 Pages Writing Per Term
4 Exam(s)
2 Paper(s)
Other Workload: One hour per week of work using statistical software
Textbooks:
https://bookstores.umn.edu/course-lookup/47170/1213
Instructor Supplied Information Last Updated:
21 May 2007

Spring 2021  |  EPSY 3264 Section 004: Basic and Applied Statistics (47432)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Pre-Covid
Times and Locations:
Regular Academic Session
 
01/19/2021 - 05/03/2021
12:00AM - 12:00AM
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (44 of 46 seats filled)
Also Offered:
Course Catalog Description:
Introductory statistics. Emphasizes understanding/applying statistical concepts/procedures. Visual/quantitative methods for presenting/analyzing data, common descriptive indices for univariate/bivariate data. Inferential techniques.
Class Notes:
This class will be taught online in an asynchronously format spring 2021. The software we use is only compatible with Macs and PCs (not chromebooks, ipads, etc.). Contact the instructor if you have questions.
Class Description:
This course, which is designed for undergraduate students interested in a basic introduction to statistical methods, covers a variety of topics in descriptive and inferential statistics. Students will learn how to collect, organize, graph and analyze data, and they will learn about topics such as sampling, normal distributions, probability, correlation, regressioon, and tests of significance. Computer lab sessions are a part of the course and students will become familiar with statistical software that can be used to analyze data. A variety of teaching methods, including lecture, small and large group discussions, in-class activities, and computer lab work will be used to explain introductory statistical topics.
Grading:
5% Reports/Papers
20% Special Projects
50% Quizzes
5% Class Participation
20% Problem Solving
Exam Format:
Multiple choice and short answer
Class Format:
10% Lecture
20% Discussion
50% Laboratory
20% Other Style In-class activities
Workload:
15 Pages Reading Per Week
20 Pages Writing Per Term
4 Exam(s)
2 Paper(s)
Other Workload: One hour per week of work using statistical software
Textbooks:
https://bookstores.umn.edu/course-lookup/47432/1213
Instructor Supplied Information Last Updated:
21 May 2007

ClassInfo Links - Spring 2021 Educational Psychology Classes

To link directly to this ClassInfo page from your website or to save it as a bookmark, use:
http://classinfo.umn.edu/?subject=EPSY&catalog_nbr=3264&term=1213
To see a URL-only list for use in the Faculty Center URL fields, use:
http://classinfo.umn.edu/?subject=EPSY&catalog_nbr=3264&term=1213&url=1
To see this page output as XML, use:
http://classinfo.umn.edu/?subject=EPSY&catalog_nbr=3264&term=1213&xml=1
To see this page output as JSON, use:
http://classinfo.umn.edu/?subject=EPSY&catalog_nbr=3264&term=1213&json=1
To see this page output as CSV, use:
http://classinfo.umn.edu/?subject=EPSY&catalog_nbr=3264&term=1213&csv=1
Schedule Viewer
8 am
9 am
10 am
11 am
12 pm
1 pm
2 pm
3 pm
4 pm
5 pm
6 pm
7 pm
8 pm
9 pm
10 pm
s
m
t
w
t
f
s
?
Class Title

ClassInfo created and maintained by the Humphrey School of Public Affairs.

If you have questions about specific courses, we strongly encourage you to contact the department where the course resides.