BTRY 6020

BTRY 6020

Course information provided by the Courses of Study 2019-2020.

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

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  •  1175BTRY 6020  LEC 001

    • MWWarren Hall B25
    • Jan 21 - May 5, 2020
    • Guinness, J

  • Instruction Mode: Hybrid - Online & In Person
    Prerequisite: BTRY 6010 or equivalent. Enrollment limited to: graduate students or permission of instructor.

  •  1176BTRY 6020  LAB 401

  • Instruction Mode: Hybrid - Online & In Person

  •  1177BTRY 6020  LAB 402

  • Instruction Mode: Hybrid - Online & In Person