The power of a statistical test is, in part, a function of the reliability of the dependable variable being analyzed. The substitution of sigma square divided by the reliability coefficient for sigma is proposed. This enables the researcher to incorporate dependent variable reliability information when determining the sample size required for a specified power of his statistical test. An inverse relationship between test reliability and the sample n required to maintain a given statistical power is defined. (Author)