Lecture video for “Data Sense: An Introduction to Statistics for the Behavioral Sciences” by Barton Poulson. This video covers Chapter 10: The Analysis of Variance (ANOVA), Section 02: Comparing Means. It explains how Type I error rates, or false positives, accumulate when several groups are compared two at a time. As a result, errors are practically inevitable with this approach, which is why the analysis of variance is a better strategy. The book and complete set of videos may be purchased at http://kendallhunt.com/poulson/.