8 classes matched your search criteria.
STAT 3032 is also offered in Spring 2025
STAT 3032 is also offered in Fall 2024
STAT 3032 is also offered in Spring 2024
STAT 3032 is also offered in Fall 2023
STAT 3032 is also offered in Summer 2023
STAT 3032 is also offered in Spring 2023
STAT 3032 is also offered in Fall 2022
STAT 3032 is also offered in Summer 2022
STAT 3032 is also offered in Spring 2022
STAT 3032 is also offered in Fall 2021
STAT 3032 is also offered in Summer 2021
Fall 2019 | STAT 3032 Section 001: Regression and Correlated Data (19982)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session09/03/2019 - 12/11/2019Mon, Wed, Fri 03:35PM - 04:25PMUMTC, East BankMechanical Engineering 18
- Enrollment Status:
- Open (89 of 90 seats filled)
- Also Offered:
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/19982/1199
Fall 2019 | STAT 3032 Section 002: Regression and Correlated Data (19983)
- Instructor(s)
- Yash Travadi (TA)
- Class Component:
- Laboratory
- Times and Locations:
- Regular Academic Session09/03/2019 - 12/11/2019Tue 10:10AM - 11:00AMUMTC, West BankPeik Hall 155
- Auto Enrolls With:
- Section 001
- Enrollment Status:
- Open (29 of 30 seats filled)
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/19983/1199
Fall 2019 | STAT 3032 Section 003: Regression and Correlated Data (19984)
- Instructor(s)
- Yash Travadi (TA)
- Class Component:
- Laboratory
- Times and Locations:
- Regular Academic Session09/03/2019 - 12/11/2019Tue 11:15AM - 12:05PMUMTC, East BankFord Hall 130
- Auto Enrolls With:
- Section 001
- Enrollment Status:
- Closed (30 of 30 seats filled)
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/19984/1199
Fall 2019 | STAT 3032 Section 004: Regression and Correlated Data (20253)
- Instructor(s)
- Yash Travadi (TA)
- Class Component:
- Laboratory
- Times and Locations:
- Regular Academic Session09/03/2019 - 12/11/2019Tue 12:20PM - 01:10PMUMTC, East BankFord Hall 150
- Auto Enrolls With:
- Section 001
- Enrollment Status:
- Closed (30 of 30 seats filled)
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/20253/1199
Fall 2019 | STAT 3032 Section 005: Regression and Correlated Data (20254)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session09/03/2019 - 12/11/2019Mon, Wed, Fri 02:30PM - 03:20PMUMTC, East BankVincent Hall 16
- Enrollment Status:
- Closed (103 of 100 seats filled)
- Also Offered:
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/20254/1199
Fall 2019 | STAT 3032 Section 006: Regression and Correlated Data (20255)
- Instructor(s)
- Xuesong Hou (TA)
- Class Component:
- Laboratory
- Times and Locations:
- Regular Academic Session09/03/2019 - 12/11/2019Tue 02:30PM - 03:20PMUMTC, East BankFord Hall 130
- Auto Enrolls With:
- Section 005
- Enrollment Status:
- Closed (40 of 40 seats filled)
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/20255/1199
Fall 2019 | STAT 3032 Section 007: Regression and Correlated Data (20256)
- Instructor(s)
- Xuesong Hou (TA)
- Class Component:
- Laboratory
- Times and Locations:
- Regular Academic Session09/03/2019 - 12/11/2019Tue 01:25PM - 02:15PMUMTC, East BankFord Hall 150
- Auto Enrolls With:
- Section 005
- Enrollment Status:
- Closed (33 of 30 seats filled)
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/20256/1199
Fall 2019 | STAT 3032 Section 008: Regression and Correlated Data (20257)
- Instructor(s)
- Xuesong Hou (TA)
- Class Component:
- Laboratory
- Times and Locations:
- Regular Academic Session09/03/2019 - 12/11/2019Tue 03:35PM - 04:25PMUMTC, East BankFord Hall 150
- Auto Enrolls With:
- Section 005
- Enrollment Status:
- Closed (30 of 30 seats filled)
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/20257/1199
ClassInfo Links - Fall 2019 Statistics Classes
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