One way to increase the probability of detecting a false null hypothesis is to increase . This is true because increasing sample size causes a reduction in the . An extremely large sample size will thus produce a very sensitive hypothesis test. This is not always desirable because the test would detect even a small effect that has no practical importance. The power of a hypothesis test equals the probability of detecting an . To determine appropriate sample size, the researcher must decide (1) what is the smallest effect that merits detection and (2) what is an appropriate detection rate. When these two questions have been answered, the researcher determines sample size by consulting