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13.2: The Logic of ANOVA ‐ How Comparing Variances Test for a Difference in Means.

  • Page ID
    20921
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    It may seem strange to use a test of “variances” to compare means, but this graph demonstrates the logic of the test.

    clipboard_eac9bf805a3ba920e1a4c1ad42713efe3.png

    If the null hypothesis \(H_o: \mu_{1}=\mu_{2}=\mu_{3}\) is true, then each population would have the same distribution and the variance of the combined data would be approximately the same. However, if the Null Hypothesis is false, then the difference between centers would cause the combined data to have an increased variance.  

     


    This page titled 13.2: The Logic of ANOVA ‐ How Comparing Variances Test for a Difference in Means. is shared under a CC BY-SA 4.0 license and was authored, remixed, and/or curated by Maurice A. Geraghty via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.