Hypothesis testing and the ANOVA
An analysis of variance or ANOVA allows the comparison of several means of several groups. An ANOVA is often used when you deal with more than 2 groups. In this lab we use the symbol g for the number of groups. The symbols $\mu1\(, \)\mu2\( and \)\mu_g$ denote the population means of the various groups.
Before we move on, to the technical details of an ANOVA, let's first get our hypotheses right. Choose the most appropriate set of hypotheses for an ANOVA.
This exercise is part of the course
Inferential Statistics
Exercise instructions
H0: $\mu1\( > \)\mu2\( = \)\mu_3$, H1: at least two population means are unequal,H0: $\mu1\( = \)\mu2\( = \)\mu_3$, H1: all population means are unequal,H0: $\mu1\( = \)\mu2\( = \)\mu_3$, H1: at least two population means are unequal
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