Common Statistical Analyses

This video provides an informative overview of how to choose the right statistical test in Prism for your analyses. Think of this as a decision-making framework for all your data analysis projects in Prism.

4 Minutes

If you are conducting a scientific experiment, the chances are high that you will encounter a p value or two. Learn how to correctly state your conclusions, whether your p value is below or above your cut-off.

2 Minutes

Learn how to test your data for normality and lognormality in Prism. This video walks you through how to statistically analyze whether or not a data set was drawn from a normal population.

20 Minutes

Learn how you can use Prism's two sample t test to help check the analysis of your assumptions

10 minutes

Learn the steps required to perform a one-way ANOVA, including what analysis choices and options you will have to make about your experiment to perform the analysis.

11 minutes

A step-by-step guide to performing linear regression in GraphPad Prism, including setting parameters, comparing slopes using ANCOVA, interpreting R² and p-values, and visualizing confidence intervals to assess differences between two datasets.

9 Minutes

Correlation is used to assess how strong the linear relationship is between two numeric variables. Learn how to perform a correlation analysis in Prism and how to correctly interpret the results.

10 Minutes

Regression is a powerful tool, but care needs to be taken when performing the analysis, making predictions, and interpreting the results. In this video, learn when it’s appropriate to use regression and how to avoid common pitfalls.

4 Minutes

Learn the steps required to perform Chi-square and Fisher’s exact tests in Prism, including how to select and interpret an odds ratio.

8 Minutes