Some statistical and experimental considerations in the use of the analysis-of-variance procedure.
Researchers often test the wrong statistical hypothesis in evaluating their experiments, thereby drawing wrong conclusions. Examples of this are given. In addition, data containing correlations among subjects require a different form of statistical analysis than do data involving independent observations. Errors that can result from an incorrect analysis are illustrated.
D000704:Analysis of Variance; D000818:Animals; D008433:Mathematics; D008962:Models, Theoretical; D011897:Random Allocation; D013223:Statistics as Topic