For example, an analyst uses a 1-sample Poisson rate test to determine whether a manufacturer produces defective units at a rate that is less than 20 defective units per quarter. If the rate differs from the target, the analyst uses the confidence interval to determine how large the difference is likely to be and whether the difference has practical significance.
To perform a 1-sample Poisson rate test, choose
.If your data classify each observation into one of two categories, such as pass/fail, use 1 Proportion. For more information on data types, go to Data types you can analyze with a hypothesis test.