For example, a marketing analyst wants to determine whether mailed advertisements that were sent to a random sample of households result in a response rate that is different from the national average of 6.5% (target value). Before collecting the data for a 1 proportion test, the analyst uses a power and sample size calculation to determine what the power of the test will be with different sample sizes.
To perform a power and sample size calculation for a 1 proportion test, choose
.If your data contain counts, such as the number of defects per unit, use Power and Sample Size for 1-Sample Poisson Rate. For more information on data types, go to Data types you can analyze with a hypothesis test.