Statistical Significance of Mutation Frequencies, and the Power of Statistical Testing, Using the Poisson Distribution

The Poisson distribution may be employed to test whether mutation frequencies differ from control frequencies. This paper describes how this testing procedure may be used for either one‐tailed or two‐tailed hypotheses. It is also shown how the power of the statistical test can be calculated, the power being the probability of correctly concluding the null hypothesis to be false.