Statistics Bootcamp

Prism is a powerful tool, but without an understanding of the fundamentals of statistics, it can be intimidating. This video gives you the statistical background you need to start performing analyses in Prism with confidence.

5 Minutes

Parametric tests, such as the unpaired t test, have important assumptions that need to be verified before an analysis can be carried out. This video discusses those assumptions and how to verify them using statistical tests and data exploration graphs.

10 Minutes

Learn all aspects of an unpaired two sample t test from checking the analysis assumptions to making the correct analysis choices and performing the test.

11 Minutes

Sample size plays a critical role in every statistical analysis. Learn how power analysis can help you get a large enough sample size to detect the effect you are looking for while avoiding unnecessarily large sample sizes that waste resources.

11 Minutes

Summarizing your data into a few useful statistics allows you to quickly and concisely see differences between groups and/or trends over time. Measures of center and spread are covered as well as an introduction to confidence intervals.

9 Minutes

It’s easy to produce a p value, but it’s difficult to do good stats. This video walks you through what you should consider before running a one-way ANOVA.

11 Minutes

Running a Chi-square or Fisher’s exact test will help you determine whether or not there is a significant difference between two proportions. However, there are a few questions you should consider answering before running each test.

2 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

Learn how to perform regression analysis when you have two groups, say treatment and control, and how to test for differences between the two regression models.

10 Minutes

Regression is one of the most popular tools in statistics, but how do you know if your regression model is good? Learn how to assess the regression fit using 5 basic techniques.

11 Minutes

Knowing the scale of measurement for your data is an important aspect in choosing the right statistical tool and can help prevent mistakes. In this video, you will learn about the four types of data scales and see examples of each.

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

Watch this video to learn more about P-Hacking with tips on how you can avoid it.

4 minutes

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