STAT 4160

Experimental Design

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Course Description

Pre-Requisite(s): A prior course in regression

This course introduces various topics in experimental design, including simple comparative experiments, single factor analysis of variance, randomized blocks, Latin squares, factorial designs, blocking and confounding, and two-level factorial designs. The statistical software R is used throughout this course.


  • Justin Weinstock

     Rating

     Difficulty

    2.00

     GPA

    3.64

     Sections

    Last Taught

    Spring 2022

  • Maria Ferrara

     Rating

     Difficulty

     GPA

    3.49

     Sections

    Last Taught

    Summer 2025

  • Taylor Brown

     Rating

     Difficulty

     GPA

    3.53

     Sections

    Last Taught

    Spring 2023