When performing an analysis of variance (ANOVA) test, you are comparing the between sum of squares (SSB) to the within sum of squares error (SSE). What does the SSE represent? The difference between the group means and the overall mean. The difference between the group means. The difference between each value. The difference between each value and the group mean.
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The question asks what the Within Sum of Squares Error (SSE) represents in the context of an Analysis of Variance (ANOVA) test. Show more…
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In one-way ANOVA, the amount of variability in the data that is not explained by the differences among the group means is called: a) the total variance, b) the grand mean or grand average, GM, c) sum of squares for error, SSE, d) degrees of freedom, e) sum of squares for treatments, SST, total sum of squares, SSTot.
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