Overview for Power and Sample Size for 2-Sample t

Use Power and Sample Size for 2-Sample t to examine the relationship between power, sample size, and the difference when you want to compare the difference between two population means. Use these calculations for the following reasons:
  • Before you collect data for a 2-sample t-test, to ensure that your test has an adequate sample size to achieve acceptable power
  • After a 2-sample t-test, to improve the design for the next test

For example, a healthcare consultant wants to compare the mean patient satisfaction ratings of two hospitals. Before collecting the data for a 2-sample t-test, the consultant uses a power and sample size calculation to determine how large the sample must be to detect a difference between the means of the two ratings with an 90% probability (power 0.9).

Where to find this analysis

To perform a power and sample size calculation for a 2-sample t-test, choose Stat > Power and Sample Size > 2-Sample t.

When to use an alternate analysis

If you have paired or dependent data, such as measurements of a bearing taken with two different calipers, use Power and Sample Size for Paired t instead. For more information, go to How are dependent and independent samples different?.

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