BIOL 243 Lecture Notes - Lecture 11: Type I And Type Ii Errors, Circadian Rhythm, Explained Variation

• School: Queen's University
• Department: Biology
• Course: BIOL 243
• Professor: William Nelson

Document Summary

Lecture 11 (module 10) anova - analysis of variance. Allows to deal w data where the independent data is a categorical variable. Difference b/w linear regression & anova: a 2 sample t test is just a type of anova. This is our setup for anova, 3 categorical variables: we want to know is. Group variation (cid:894)gv(cid:895): it"s the explained (cid:448)ariation: (cid:1007). Residual (cid:448)ariation (cid:894)rv(cid:895): it"s the (cid:448)ariation that is not explained: h0: (cid:2200)(cid:2197)(cid:2198)(cid:2201) (cid:2200)(cid:2200)(cid:2197)(cid:2200, suppose we have a value of 2 . We compare the group variation to the residual variation by using the f-test: where we divide the gv to the rv. If we reject the null hypothesis, what does this mean about the conclusion. Here we draw a single conclusion at 2 of the levels but we have to first say there is something different somewhere. To determine the conclusion between levels we use d)reject the null hypothesis and conclude that eyes are different from knees.