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Statistical power analysis is becoming an increasingly routine procedure when planning experiments and assessing the validity of tests of hypotheses following statistical analysis. For those situations where Type I error rate is not set to .10, .05, or .01 the task is impeded by the unavailability of tables for computation. A BASIC computer program is described that computes power for any combination of effect size, degrees of freedom for hypothesis, degrees of freedom for error. and a level. As a consequence of the algorithm an approximation to the critical value of the Bonferroni F-test is also computed.
Richard F. Haase (Mon,) studied this question.