PSY202H1 Lecture Notes - Lecture 4: Repeated Measures Design, Statistical Hypothesis Testing, Null Hypothesis
13 Mar 2014
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Document Summary
The same as before - the general ratio. There are no individual differences explaining the differences between treatment conditions. Partition the denominator further - error variance is the actual denominator. Individual differences - different people in each treatment condition. N = total number of scores n = total number of participants (same participants in each treatment condition) Degrees of freedom for error, not within treatment. Ss = 2, df = 1, f = 4. 00. Ss = 9, df = 24 df = 24, ms = 0. 5. Df = (k-1)(n-1) n = [(k-1)(n-1)]/(k-1) + 1. H1: there is at least one difference among the treatment means. Ss total = 354 - (60)^2/15 = 114. Df total = n - 1 = 15 -1 = 13. Obtained f ratio is greater than the critical value so we reject the null hypothesis and conclude that there is a significant treatment effect.
