Chapter 10: Comparing Two or More Means by Analysing Variances: ANOVA

Learning Objectives:

  • Outline analysis of variance – a statistical procedure that allows researchers to establish how likely it is that observed differences between two or more groups would have arisen by chance.

With this objective in mind, watch the following video

Dr. Herschel Knapp introduces the ANOVA test and explains how to use it to detect statistical significance.

What is the difference between the t-test and ANOVA?

  1. The ANOVA test and t-test are the same
  2. The ANOVA test compares three or more continuous variables to detect statistically significant differences between the groups
  3. The t-test compares three or more continuous variables to detect statistically significant differences between the groups

Click for the correct answer.

Answer: B