Use Randomization test for 1-sample mean to compare the mean of a population to a target value or reference value. You can also use Randomization test for 1-sample mean to illustrate important statistical concepts.

For example, a quality analyst uses a randomization test to determine whether the average thread length of bolts differs from the target of 20 mm.

- The p-value measures the evidence against the null hypothesis so that the analyst can decide whether the average is on-target.
- The histogram shows the variation and shape of the sampling distribution.
- Resampling techniques can show the effect of sample size on the sampling distribution.

For more detail on bootstrapping and resampling techniques, go to What is bootstrapping?

To estimate a confidence interval for the population mean, use Bootstrapping for 1-sample function.