2 classes matched your search criteria.

Fall 2022  |  STAT 3301 Section 001: Regression and Statistical Computing (21676)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Enrollment Requirements:
Stat 3021 and (CSCI 1113 or CSCI 1133), and co-requisite CSCI 2033
Times and Locations:
Regular Academic Session
 
09/06/2022 - 12/14/2022
Mon, Wed, Fri 12:20PM - 01:10PM
UMTC, East Bank
Ford Hall 130
Enrollment Status:
Open (17 of 35 seats filled)
Also Offered:
Course Catalog Description:
This is a second course in statistics for students that have completed a calculus-based introductory course. Students will learn to analyze data with the multiple linear regression model. This will include inference, diagnostics, validation, transformations, and model selection. Students will also design and perform Monte Carlo simulation studies to improve their understanding of statistical concepts like coverage probability, Type I error probability, and power. This will allow students to understand the impacts of model misspecification and the quality of approximate inference. prereq: Stat 3021 and (CSci 1113 or CSci 1133), and co-requisite (CSci 2033 or Math 2142 or Math 2243 or Math 2373)
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/21676/1229

Fall 2022  |  STAT 3301 Section 002: Regression and Statistical Computing (21677)

Instructor(s)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/06/2022 - 12/14/2022
Wed 08:00AM - 08:50AM
UMTC, East Bank
Mechanical Engineering 321
Auto Enrolls With:
Section 001
Enrollment Status:
Open (17 of 35 seats filled)
Course Catalog Description:
This is a second course in statistics for students that have completed a calculus-based introductory course. Students will learn to analyze data with the multiple linear regression model. This will include inference, diagnostics, validation, transformations, and model selection. Students will also design and perform Monte Carlo simulation studies to improve their understanding of statistical concepts like coverage probability, Type I error probability, and power. This will allow students to understand the impacts of model misspecification and the quality of approximate inference. prereq: Stat 3021 and (CSci 1113 or CSci 1133), and co-requisite (CSci 2033 or Math 2142 or Math 2243 or Math 2373)
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/21677/1229

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