BTRY 6020

BTRY 6020

Course information provided by the Courses of Study 2018-2019.

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 standing or permission of instructor.
Prerequisites/Corequisites Prerequisite: BTRY 6010 or equivalent.

View Enrollment Information

  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  •  1188 BTRY 6020   LEC 001

  • Prerequisite: BTRY 6010 or equivalent. Enrollment limited to: graduate students or permission of instructor.

  •  1189 BTRY 6020   LAB 401

  •  1190 BTRY 6020   LAB 402