Science & Tech

Type 2 Error Explained: How to Avoid Hypothesis Testing Errors

Written by MasterClass

Last updated: Feb 16, 2023 • 4 min read

As you test hypotheses, there’s a potentiality you might interpret your data incorrectly. Sometimes people fail to reject a false null hypothesis, leading to a type 2 (or type II) error. This can lead you to make broader inaccurate conclusions about your data. Learn more about what type 2 errors are and how you can avoid them in your statistical tests.