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Select the ‘ One-way ANOVA (and nonparametric)’ analysis under the ‘ Column analyses‘ section. Here you need to tell GraphPad which test to perform.

“There is a difference in the age of disease X contraction between the three genotypes”. “There is no difference in the age of disease X contraction between the three genotypes”. The null hypothesis for this example will be: Each group’s data is separated into different columns. In total, I have 6 data points for each group. The groups are stratified by their genotype (AA, AG, GG) for a certain gene. I will use a theoretical example of comparing the age at which three groups of individuals encountered a certain disease (disease X). 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 One-Way ANOVA test in GraphPad Prism you will need to enter groups of data into separate columns. In other words, their standard deviations need to be approximately the same. The dependent variables should have homogeneity of variances.See how to test for normality in GraphPad Prism. The dependent variables should be normally distributed.There are no outliers present in the dependent variable.There should be three or more independent (non-related) groups.The dependent variables should be measured on a continuous scale (either interval or ratio).Assumptions of a One-Way ANOVA testīefore running a One-Way ANOVA test in GraphPad Prism, it is best to ensure the data meets the following assumptions. I will also show you how to interpret and report the results. In this guide, I will explain how to perform a One-Way ANOVA test in GraphPad Prism.