KINE 2050 Lecture Notes - Lecture 19: Dependent And Independent Variables, Parametric Statistics, Global Health
7 Apr 2018
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It is an inferential test that determines di erences: can be used for both inferential and experimental tests. Example: do 3 di erent drugs di er in treatment e ectiveness, iv: 3 drugs, dv: severity of symptom score. Null hypothesis for anova: no di erence between the populations or groups, and the populations means of all your groups should be equal. An easy way to see if groups are di erent on a graph: look at the lower limit of one group, and the upper limit of another group. If they don"t overlap, then your data is statistically signi cant and there is a di erence between the groups. F= variance between groups / variance within groups. If our between group variance is smaller than our within group variance, then the. Anova test will fail and you will not reject the null hypothesis.
