PSYC 1010 Chapter Notes - Chapter 12: Null Hypothesis, F-Distribution, Analysis Of Variance
3 May 2016
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Chapter 12 analysis of variance anova. The anova analyzes some form of variance between different means (more than 2 means) relative to what is called error variance differences between individuals, independent from differences. To determine f: f= msb/msw both of these numbers will be positive since we will be squaring numbers in the process of finding them (unless the numerator is 0, in which case f will be 0) Msb = how much the means of different groups vary from one another. Msw = how much variability there is between scores of individuals within the different groups. Since we"re predicting differences among a number of means beyond just two, we are only interested in whether any of the means are different, statistically, from any of the other means. Null hypothesis assumes no population differences among the means. And any deviation from this fact (so differences among pop. means) would lead to rejecting the null hypothesis.
