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). If the proportion differs from the target value, the analyst can use the confidence interval to determine whether the difference is practically significant.
To perform a 1 proportion test, choose
.If your data contain counts, such as the number of defects per unit, use 1-Sample Poisson Rate. For more information on data types, go to Data types you can analyze with a hypothesis test.