Overview of Randomization test for 2-sample means

Use Randomization test for 2-sample means to determine whether the population means of two independent groups differ. You can also use Randomization test for 2-sample means to illustrate important statistical concepts. For observations to be independent, the value of a particular observation does not depend on any previous observation. If your observations are not independent, your results may not be valid. For more information, go to How are dependent and independent samples different?.

For example, a healthcare consultant uses a randomization test to determine whether there is a difference in patient satisfaction ratings of two hospitals.

The p-value measures the evidence against the null hypothesis so that the consultant can decide whether the ratings differ.
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?

Where to find this analysis

Calc > Resampling > Randomization Test for 2-Sample Means

When to use an alternate analysis

To estimate a confidence interval for the difference in means of two independent groups, use Bootstrapping for 2-sample means.