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11: Chi-Square and ANOVA Tests

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    This chapter presents material on three more hypothesis tests. One is used to determine significant relationship between two qualitative variables, the second is used to determine if the sample data has a particular distribution, and the last is used to determine significant relationships between means of 3 or more samples.

    • 11.1: Chi-Square Test for Independence
    • 11.2: Chi-Square Goodness of Fit
    • 11.3: Analysis of Variance (ANOVA)
      There are times where you want to compare three or more population means. One idea is to just test different combinations of two means. The problem with that is that your chance for a type I error increases. Instead you need a process for analyzing all of them at the same time. This process is known as analysis of variance (ANOVA). The test statistic for the ANOVA is fairly complicated, you will want to use technology to find the test statistic and p-value.

    11: Chi-Square and ANOVA Tests is shared under a CC BY-SA 4.0 license and was authored, remixed, and/or curated by Kathryn Kozak via source content that was edited to conform to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.