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.
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Victor H. Denenberg (1984) studied this question.