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  • An example of qPCR data comparing two independent groups. If there are more than two groups, you may require a One-Way ANOVA test. Conversely, if there is just a single group of data, it is likely a one-sample t-test is required. 3. The two groups should be independent. As the name of the test suggests, the two groups should be independent of ...
  • Alternatively, open the test workbook using the file open function of the file menu. Then select the unpaired t test from the parametric methods section of the analysis menu. Select the columns marked "High protein" and "Low protein" when prompted for data. For this example: Unpaired t test. Mean of High Protein = 120 (n = 12)
  • A paired t-test is used when we are interested in the difference between two variables for the same subject. Often the two variables are separated by time. For example, in the Dixon and Massey data set we have cholesterol levels in 1952 and cholesterol levels in 1962 for each subject.

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The unpaired two-samples Wilcoxon test (also known as Wilcoxon rank sum test or Mann-Whitney test) is a non-parametric alternative to the unpaired two-samples t-test, which can be used to compare two independent groups of samples. It’s used when your data are not normally distributed.