The great thing about GraphPad Prism for statistical testing is that the output is very user-friendly and self-explanatory. For our purpose, we are going to leave everything in the default settings but will select ‘ Descriptive statistics for each data set’ so GraphPad will produce the mean and standard deviation for each group. If you want to change any other settings, such as the confidence level, go to the ‘ Options’ tab. Compare ranks‘ is selected under the ‘ Choose test‘ header.Ĥ. Use nonparametric test’ under the ‘ Assume Gaussian distribution’ header below. In this case, select the ‘ unpaired’ option, under the ‘ Experimental design‘ header. The next window will ask you to specify which test to perform. Select the ‘ t-tests (and nonparametric tests)’ analysis and make sure the two datasets are ticked on the right window. Here you need to tell GraphPad which test to perform. To perform a Mann-Whitney U test in GraphPad Prism, first, go to ‘ Insert > New Analysis …’.Ģ.“There is a difference in protein levels between the control and treated group”. “There is no difference in protein levels between the control and treated group”. The null hypothesis for this example will be: Each group’s data is separated into different columns. In total, I have 20 data points for each group. I will use a theoretical example of comparing the concentrations of a certain protein between a control and treated group of individuals. Then select ‘ Enter replicate values, stacked into columns’ as the ‘ Enter/import data’ choice.Īlternatively, you can go to ‘ File > New > New Data Table & Graph …’. Upon opening GraphPad Prism, select the ‘ Column’ type for the ‘ New Table & Graph’ option. To perform a Mann-Whitney U test in GraphPad Prism you will need to enter two groups of data into separate columns. The distribution and shape of the data in the two groups should be similar.Each data point should be independent of each other.There should be two groups of data present.The variables of interest contain continuous or ordinal data.Assumptions of a Mann-Whitney U testīefore performing the test, it is important to check that your data satisfies the assumptions of a Mann-Whitney U test. I will also show you how to interpret and report the results. In this guide, I will explain how to perform a Mann-Whitney U test in GraphPad Prism.

Graphpad prism volcano plot