KINESIOL 3C03 Study Guide - Multicollinearity, Homoscedasticity, Generalized Linear Model

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Simple anova: comparing the means of three or more groups. The purpose of aonva (analysis of variance) is to compare the effects of a variable with multiple factors (training intensity: low, med, high) on a single variable (vo2) The independent variable intensity of training is called a factor. The factor in this example has 3 levels (low, med, high) The dependent variable in this experiment is vo2. Anova allows for multiple comparisons while still keeping = 0. 05. Now let us consider comparing the effects of number of days training per week (1,2,3,4,5,6) on. The number of days training is a factor with 6 levels. We could use multiple t-tests to compare (1 v 2, 1 v. This would cause alpha to inflate from 0. 05 to 0. 26 greatly increasing the probability of making a. Anova fixes this problem by doing only one test. The populations from which the samples are drawn in normally distributed.

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