Multiple Comparisons Procedure: Controlling Error Rates in Statistical Testing - 12E

In this video, we introduce the Multiple Comparisons Procedure, a critical statistical method used to compare several groups while controlling for error rates. You’ll learn why multiple comparisons increase the risk of Type I errors (false positives) and how techniques like the Bonferroni correction and Tukey’s HSD help to address this issue.
We’ll explain when and how to use these procedures to ensure that your inferences are reliable, especially when performing multiple hypothesis tests simultaneously. This video is ideal for students and researchers looking to understand how to manage error rates when comparing multiple groups in statistical analysis.
Join us for a clear, step-by-step guide to applying multiple comparisons procedures and improving the accuracy of your statistical conclusions!