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  • 11.1: Why ANOVA?
    https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/02%3A_Mean_Differences/11%3A_BG_ANOVA/11.01%3A_Why_ANOVA
    What do you do when you have three groups?
  • 12.4: ANOVA and Type I Error
    https://stats.libretexts.org/Courses/Rio_Hondo_College/PSY_190%3A_Statistics_for_the_Behavioral_Sciences/12%3A_Analysis_of_Variance/12.04%3A_ANOVA_and_Type_I_Error
    You may be wondering why we do not just use another t -test to test our hypotheses about three or more groups the way we did in Unit 2. After all, we are still just looking at group mean differences....You may be wondering why we do not just use another t -test to test our hypotheses about three or more groups the way we did in Unit 2. After all, we are still just looking at group mean differences. The reason is that our t -statistic formula can only handle up to two groups, one minus the other. With only two groups, we can move our population parameters for the group means around in our null hypothesis and still get the same interpretation.
  • 11.1: Why ANOVA?
    https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/11%3A_BG_ANOVA/11.01%3A_Why_ANOVA
    What do you do when you have three groups?
  • 12.4: ANOVA and Type I Error
    https://stats.libretexts.org/Courses/Sacramento_City_Colllege/PSYC_330%3A_Statistics_for_the_Behavioral_Sciences_with_Dr._DeSouza/12%3A_Analysis_of_Variance/12.04%3A_ANOVA_and_Type_I_Error
    You may be wondering why we do not just use another t -test to test our hypotheses about three or more groups the way we did in Unit 2. After all, we are still just looking at group mean differences....You may be wondering why we do not just use another t -test to test our hypotheses about three or more groups the way we did in Unit 2. After all, we are still just looking at group mean differences. The reason is that our t -statistic formula can only handle up to two groups, one minus the other. With only two groups, we can move our population parameters for the group means around in our null hypothesis and still get the same interpretation.

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