Abstract
This paper explored sample composition as a potential source of error in coefficient estimation and hypothesis testing by correlation with a dummy variable. Specific examples were provided to demonstrate to researchers the significance of this source of error. Although the problem is examined in light of the statistical consequences, composition of the sample, which is the actual source of error, is a methodological issue.
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