12: Analysis of Variance (not covered in EC225)

EC225: Research Methods and Statistics for Economics · LibreTexts

0%

Contents

    Text

    Size
    100%
    Theme
    Typeface
    Line length
    Spacing

    From LibreTexts, under CC BY-SA 4.0, as the source states it; its equations are written in TeX, which the PDF shows typeset. This page at LibreTexts.

    • 12.1: One-Way ANOVA
      The one-way ANOVA F-test is a statistical test for testing the equality of \(k\) population means from 3 or more groups within one variable or factor. There are many different types of ANOVA; we will cover with what is commonly referred to as a one-way ANOVA, which has one main effect or factor that is split up into three or more independent treatment levels. In more advanced courses you would learn about dependent groups or two or more factors.
    • 12.2: Pairwise Comparisons of Means (Post-Hoc Tests)
      How to determine which means are significantly different from each other, if the ANOVA indicates rejecting the null hypothesis, using the Bonferroni Test.
    • 12.3: Two-Way ANOVA (Factorial Design)
      Two-way analysis of variance (two-way ANOVA) is an extension of one-way ANOVA that allows for testing the equality of \(k\)  population means from two independent variables, and to test for interaction between the two variables.
    • 12.4: Chapter 12 Formulas
    • 12.5: Chapter 12 Exercises

    This page titled 12: Analysis of Variance (not covered in EC225) was last modified on Thu, 12 Jun 2025 19:18:05 GMT and is shared under a CC BY-SA 4.0 license and was authored, remixed, and/or curated by Rachel Webb via source content that was edited to the style and standards of the LibreTexts platform.