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Under ‘ Assume Gaussian distribution’, select ‘ Yes.
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Next, you need to select whether the test will be a parametric or nonparametric test. In this case, select the ‘ unpaired’ option. The next window will ask you to specify whether the t-test is an unpaired (independent) or paired (dependent) test. 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 an unpaired (independent) T-test, first go to ‘ Insert > New Analysis …’. “There is a difference in height between males and females”. “There is no difference in height between the males and females”. So each gender will have a separate column listing all of the height values. I will use a theoretical example of comparing heights between a group of males and females. 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 an unpaired (independent) T-test in GraphPad Prism you will need to enter two groups of data into separate columns.
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Refer to our article on this by clicking here. Assumptionsīefore beginning it is important that your data satisfies the five assumptions of an independent t-test. I will also show you how to interpret and report the results. In this guide, I will explain how to perform an unpaired (independent) T-test in GraphPad Prism.
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