13.1: Comparing means from more than two Independent Populations
- Page ID
- 20920
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Suppose we wanted to compare the means of more than two (\(k\)) independent populations and wanted to test the null hypothesis \(H_o: \mu_{1}=\mu_{2}=\mathrm{L}=\mu_{k}\).
If we can assume all population variances are equal, we can expand the pooled variance \(t\)‐test for two populations to one factor ANOVA for \(k\) populations.