Statistics Bootcamp

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

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.

10 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.

11 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.

10 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.

13 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.

10 mintues