2 classes matched your search criteria.
EPSY 5261 is also offered in Spring 2025
EPSY 5261 is also offered in Fall 2024
EPSY 5261 is also offered in Spring 2024
EPSY 5261 is also offered in Fall 2023
EPSY 5261 is also offered in Summer 2023
EPSY 5261 is also offered in Spring 2023
EPSY 5261 is also offered in Fall 2022
EPSY 5261 is also offered in Summer 2022
EPSY 5261 is also offered in Spring 2022
EPSY 5261 is also offered in Fall 2021
EPSY 5261 is also offered in Summer 2021
Spring 2025 | EPSY 5261 Section 001: Introductory Statistical Methods (50730)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Enrollment Requirements:
- Exclude fr or soph 5000 level courses
- Times and Locations:
- Regular Academic Session01/21/2025 - 05/05/2025Tue, Thu 02:30PM - 03:45PMUMTC, East Bank
- Enrollment Status:
- Open (0 of 45 seats filled)
- Also Offered:
- Course Catalog Description:
- EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.
- Class Description:
- This course is designed to provide an overview of introductory statistics. The topics to be covered in this course include graphing techniques, measures of center and spread, normal distributions, correlation, simple linear regression, sampling methods, experimental design, sampling distributions, and methods of statistical estimation and inference. Upon completion of this introductory course, students should be able to:(1) think critically about statistics used in popular magazines, newspapers, and journal articles, (2)apply the knowledge gained in the course to analyze simple statistics used in research, and (3)design a research study, use a statistical software package to analyze the data generated from this research study, and appropriately report the conclusions of this research study. Active participation is encouraged in this course, and many class periods will be spent working through activities, engaging in small- and large-group discussion, and learning how to use technology to solve different types of problems. Students will be expected to use SPSS in this course. A student-version of SPSS will be sold with the textbook, but this student version runs only on PCs, not on Macs. Any student who uses a Mac may need to complete SPSS work at a computer lab on campus.
- Grading:
- 19% Final Exam
25% Reports/Papers
29% Quizzes
12% Class Participation
15% Problem Solving - Exam Format:
- short-answer, multiple-choice true/false
- Class Format:
- 10% Lecture
30% Discussion
30% Laboratory
30% Other Style class activities - Workload:
- 30 Pages Reading Per Week
20 Pages Writing Per Term
4 Exam(s)
3 Paper(s)
Other Workload: homework assignments - Textbooks:
- https://bookstores.umn.edu/course-lookup/50730/1253
- Instructor Supplied Information Last Updated:
- 21 May 2007
Spring 2025 | EPSY 5261 Section 002: Introductory Statistical Methods (50731)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Enrollment Requirements:
- Exclude fr or soph 5000 level courses
- Times and Locations:
- Regular Academic Session01/21/2025 - 05/05/2025Off CampusVirtual Rooms ONLINEONLY
- Enrollment Status:
- Open (0 of 45 seats filled)
- Also Offered:
- Course Catalog Description:
- EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.
- Class Notes:
- This class will meet asynchronously.
- Class Description:
- This course is designed to provide an overview of introductory statistics. The topics to be covered in this course include graphing techniques, measures of center and spread, normal distributions, correlation, simple linear regression, sampling methods, experimental design, sampling distributions, and methods of statistical estimation and inference. Upon completion of this introductory course, students should be able to:(1) think critically about statistics used in popular magazines, newspapers, and journal articles, (2)apply the knowledge gained in the course to analyze simple statistics used in research, and (3)design a research study, use a statistical software package to analyze the data generated from this research study, and appropriately report the conclusions of this research study. Active participation is encouraged in this course, and many class periods will be spent working through activities, engaging in small- and large-group discussion, and learning how to use technology to solve different types of problems. Students will be expected to use SPSS in this course. A student-version of SPSS will be sold with the textbook, but this student version runs only on PCs, not on Macs. Any student who uses a Mac may need to complete SPSS work at a computer lab on campus.
- Grading:
- 19% Final Exam
25% Reports/Papers
29% Quizzes
12% Class Participation
15% Problem Solving - Exam Format:
- short-answer, multiple-choice true/false
- Class Format:
- 10% Lecture
30% Discussion
30% Laboratory
30% Other Style class activities - Workload:
- 30 Pages Reading Per Week
20 Pages Writing Per Term
4 Exam(s)
3 Paper(s)
Other Workload: homework assignments - Textbooks:
- https://bookstores.umn.edu/course-lookup/50731/1253
- Instructor Supplied Information Last Updated:
- 21 May 2007
ClassInfo Links - Spring 2025 Educational Psychology Classes
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