PSYC 2002 Lecture 17: Lecture 17
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Concluding statement for previous example: the mean number of errors in the driving test differs across the 3 alcohol consumption decisions, Step 1: h(cid:1004): (cid:1005) = (cid:1006) = (cid:1007, h1: some means are different. 18: very non-specific, all anova can tell you is that there is a difference, cannot tell you the source. Step 2: assu(cid:373)e =(cid:1004). (cid:1004)(cid:1009, df (cid:449)ithi(cid:374): (cid:374) k = (cid:1005)(cid:1009) (cid:1007) = (cid:1005)(cid:1006, df (cid:271)et(cid:449)ee(cid:374): k (cid:1005) = (cid:1007) (cid:1005) = (cid:1006) Top=how many df"s, side=within df: f critical = 3. 89. Step 3: group means, x1 = 4, x2 = 8, x3 = 17. 75, grand mean, gm = 9. 27. 14: ms-b = 218. 09, ms-w = 8. 9. F obtained = 24. 50: f obtained > f critical, the scores in a test of temperament vary across the dream deprivation conditions, f(2,12) = 24. 5, Effect size: measured using r , a stat that you calculate that things that are already in the anova table, (cid:1844)(cid:2870)=(cid:3029)(cid:3041) (cid:3042)(cid:3028)(cid:3039)
