4 classes matched your search criteria.

Fall 2019  |  EPSY 3264 Section 001: Basic and Applied Statistics (15985)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Mon, Wed 09:45AM - 11:00AM
UMTC, East Bank
Science Teaching Student Svcs 131A
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 is designed to provide an overview of introductory statistics. This class is intended for undergraduate students who have completed a high school algebra course, but have not previously studied statistics. The topics to be covered in this course include sampling methods, experimental design, data exploration (e.g., using graphical and numerical summaries), data modeling and simulation, normal distributions, sampling distributions, methods of statistical inference (estimation and testing), and correlation. Upon completion of this introductory course, students should be able to: (1) think critically about statistics used in magazines, newspapers, and journal articles, (2) reason about data and (3) apply the knowledge gained in the course to begin to answer simple research questions using empirical data. Students are expected to keep up with all required readings and assignments, as well as to be active participants in the course. Active participation includes asking and answering questions in both large and small group discussions. It is also expected that all students have a basic understanding of computer use (e.g., e-mail, web browsers, word-processing software, etc.).
Grading:
12% Final Exam
13% Special Projects
17% Quizzes
35% Written Homework
23% Additional Semester Exams
Exam Format:
Short-Answer
Class Format:
10% Lecture
30% Discussion Independent and small-group learning activities
Workload:
10 Pages Reading Per Week
3 Exam(s)
6 Special Project(s)
6 Homework Assignment(s)
3 Quiz(zes)
Textbooks:
https://bookstores.umn.edu/course-lookup/15985/1199
Instructor Supplied Information Last Updated:
7 April 2009

Fall 2019  |  EPSY 3264 Section 002: Basic and Applied Statistics (15986)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Tue, Thu 09:45AM - 11:00AM
UMTC, East Bank
Science Teaching Student Svcs 420B
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/15986/1199
Instructor Supplied Information Last Updated:
21 May 2007

Fall 2019  |  EPSY 3264 Section 003: Basic and Applied Statistics (15987)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Tue, Thu 01:00PM - 02:15PM
UMTC, East Bank
Science Teaching Student Svcs 131A
Enrollment Status:
Closed (45 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 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/15987/1199
Instructor Supplied Information Last Updated:
21 May 2007

Fall 2019  |  EPSY 3264 Section 004: Basic and Applied Statistics (15552)

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
 
09/03/2019 - 12/11/2019
12:00AM - 12:00AM
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Closed (40 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:
This is a semester-long online course with an initial optional on-campus meeting 9/4/2019, 11:15 - 12:45pm, Bruininks Hall Room 530A. Contact the instructor if you cannot attend.
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/15552/1199
Instructor Supplied Information Last Updated:
21 May 2007

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