BTRY 6020
Last Updated
- Schedule of Classes - April 4, 2023 12:09PM EDT
- Course Catalog - April 3, 2023 12:59PM EDT
Classes
BTRY 6020
Course Description
Course information provided by the Courses of Study 2022-2023.
Continuation of BTRY 6010. Emphasizes the use of multiple regression analysis, analysis of variance, and related techniques to analyze data in a variety of situations. Topics include an introduction to data collection techniques; least squares estimation; multiple regression; model selection techniques; detection of influential points, goodness-of-fit criteria; principles of experimental design; analysis of variance for a number of designs, including multi-way factorial, nested, and split plot designs; comparing two or more regression lines; and analysis of covariance. Emphasizes appropriate design of studies before data collection, and the appropriate application and interpretation of statistical techniques. Practical applications are implemented using a modern, widely available statistical package.
When Offered Spring.
Permission Note Enrollment limited to: graduate students or permission of instructor.
Prerequisites/Corequisites Prerequisite: BTRY 6010 or equivalent.
Regular Academic Session. Choose one lecture and one laboratory.
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MW Uris Library 2B02
- Jan 23 - May 9, 2023
Instructors
Wang, Y
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Additional Information
Instruction Mode: In Person
Prerequisite: BTRY 6010 or equivalent. Enrollment limited to: graduate students or permission of instructor.
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
- Jan 23 - May 9, 2023
Instructors
Wang, Y
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- T Mann Library B30A
- Jan 23 - May 9, 2023
Instructors
Wang, Y
-
Additional Information
Instruction Mode: In Person
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