4 classes matched your search criteria.
EPSY 3264 is also offered in Spring 2025
EPSY 3264 is also offered in Fall 2024
EPSY 3264 is also offered in Spring 2024
EPSY 3264 is also offered in Fall 2023
EPSY 3264 is also offered in Summer 2023
EPSY 3264 is also offered in Spring 2023
EPSY 3264 is also offered in Fall 2022
EPSY 3264 is also offered in Summer 2022
EPSY 3264 is also offered in Spring 2022
EPSY 3264 is also offered in Fall 2021
EPSY 3264 is also offered in Summer 2021
Spring 2017 | EPSY 3264 Section 001: Basic and Applied Statistics (47534)
- 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 Session01/17/2017 - 05/05/2017Mon, Wed 01:00PM - 02:15PMUMTC, East BankScience Teaching Student Svcs 131A
- 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/47534/1173
- Instructor Supplied Information Last Updated:
- 21 May 2007
Spring 2017 | EPSY 3264 Section 002: Basic and Applied Statistics (47798)
- 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 Session01/17/2017 - 05/05/2017Tue, Thu 09:45AM - 11:00AMUMTC, East BankScience Teaching Student Svcs 512B
- 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/47798/1173
- Instructor Supplied Information Last Updated:
- 21 May 2007
Spring 2017 | EPSY 3264 Section 003: Basic and Applied Statistics (47840)
- 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 Session01/17/2017 - 05/05/2017Tue, Thu 01:00PM - 02:15PMUMTC, East BankScience Teaching Student Svcs 512B
- 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/47840/1173
- Instructor Supplied Information Last Updated:
- 21 May 2007
Spring 2017 | EPSY 3264 Section 004: Basic and Applied Statistics (48150)
- 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 RequirementOnline Course
- Times and Locations:
- Regular Academic Session01/17/2017 - 05/05/201712:00AM - 12:00AMOff CampusVirtual Rooms ONLINEONLY
- 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 Friday, January 20, 9:05-9:55am in 302 Appleby Hall.
- 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/48150/1173
- Instructor Supplied Information Last Updated:
- 21 May 2007
ClassInfo Links - Spring 2017 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=1173
- 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=1173&url=1
- To see this page output as XML, use:
- http://classinfo.umn.edu/?subject=EPSY&catalog_nbr=3264&term=1173&xml=1
- To see this page output as JSON, use:
- http://classinfo.umn.edu/?subject=EPSY&catalog_nbr=3264&term=1173&json=1
- To see this page output as CSV, use:
- http://classinfo.umn.edu/?subject=EPSY&catalog_nbr=3264&term=1173&csv=1
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.