ANOVA and Significance Levels
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I am not understanding how to do this question as I am still trying to grasp an understanding of the material. I came across this question at the end of the chapter:
When groups are more alike than different, ANOVA assesses the significance of the difference between two groups. When groups are unalike, will findings be more significant? And what are some conclusions you might draw from that?
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Just like you would use a z-test or a t-test to see if two groups have significantly different means, you would use ANOVA to compare the means of three or more groups. In other words, ANOVA is like a t-test for more than two groups.
When you use ANOVA to compare means, the null hypothesis is that all the means are the same, and the alternative hypothesis ...
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