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Performs unpaired t test, Weldh's t test (doesn't assume equal variances) and paired t test. Calculates exact P value and 95% confidence interval. Clear results with links to extensive explanations.
Use our free one-sample t test calculator for this. A one sample t test example research question is, “Is the average fifth grader taller than four feet?” It is the simplest version of a t test, and has all sorts of applications within hypothesis testing.
The calculator will compare the means to ask whether the observed differences are likely to be due to coincidence. Enter either raw data (enter each value) or averaged data (enter mean, N and SD or SEM). If you enter averaged data, you cannot choose a paired t test, which requires raw data.
You can perform multiple independent two-sample comparison tests simultaneously in Prism. Select from parametric and nonparametric tests and specify if the data are unpaired or paired. Try performing a t test with a 30-day free trial of Prism. Watch this video to learn how to choose between a paired and unpaired t test.
You can enter data as mean, SD (or SEM) and N, and Prism can compute an unpaired t test or the Welch t test. Prism cannot perform an paired test, as that requires analyzing each pair. It also cannot do any nonparametric tests, as these require ranking the data.
The paired t test analyzes the differences between pairs. With some experiments, you may observe a very large variability among the differences. The differences are larger when the control value is larger. With these data, you'll get more consistent results if you perform a ratio t test.
From the Welcome (or New Table and graph) dialog, choose the Column tab. If you are not ready to enter your own data, choose sample data and choose: t test - Paired. Enter the data for each group into a separate column, with matched values on the same row.
The paired t test analyzes the differences between pairs. For each pair, it calculates the difference. Then it calculates the average difference, the 95% CI of that difference, and a P value testing the null hypothesis that the mean difference is really zero.
McNemar's test to analyze a matched case-control study. McNemar's test is used to compare paired proportions. It can be used to analyze retrospective case-control studies, where each case is matched to a particular control.
Prism can compute an unpaired t test (but not a paired t test, and not nonparametric comparisons) with data entered as mean, SD (or SEM), and n. This can be useful if you are entering data from another program or publication.