Use 1 Proportion to estimate a binomial population proportion and to compare the proportion to a target value or a reference value. Using this analysis, you can do the following when your data contain only two categories, such as pass/fail:

- Determine whether the population proportion differs from the hypothesized proportion that you specify.
- Calculate a range of values that is likely to include the population proportion.

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.