PSYC 2002 Lecture Notes - Lecture 14: Dependent And Independent Variables, Effect Size, 12012
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(cid:2869) (cid:2870: = (cid:3041, becomes: (cid:883) (cid:884)= [(cid:4672)(cid:2869)(cid:3118)(cid:3041)(cid:2869)(cid:4673)+(cid:4672)(cid:2870)(cid:3118)(cid:3041)(cid:2870)(cid:4673), we are going to modify the variability part. Independent groups standard error: the standard error of the (cid:373)ea(cid:374) differe(cid:374)ces: you put the s p i(cid:374)to the s m(cid:1005)-m2 formula where s1 and s2 are, almost final formula for independent groups t test, use it for both times. (cid:1872)=[(cid:4666)(cid:2869) (cid:2870)(cid:4667) (cid:4666)(cid:2869) (cid:2870)(cid:4667)] Final version: under the null, you assume the difference between population means is 0. M1 (divorced) = 40, ss1=256 m2 (not divorced) = 35, ss2=252. Step 2: alpha = 0. 05, 2 tailed test, df = (n1+n2-2) = 17 + 15 - 2 = 30, t critical = 2. 042. Standard error of differences. (cid:3031)(cid:3033)(cid:2869)+(cid:3031)(cid:3033)(cid:2870)=(cid:2870)(cid:2873)(cid:2874)+(cid:2870)(cid:2873)(cid:2870) (cid:2869)(cid:2874)+(cid:2869)(cid:2872) =(cid:883)(cid:888). (cid:891)(cid:885: (cid:1871) (cid:2870)=(cid:2869)+(cid:2870, (cid:1871) (cid:883) (cid:884)= (cid:3043)(cid:3118)(cid:3041)(cid:2869)+(cid:4672)(cid:3043)(cid:3118)(cid:3041)(cid:2870)(cid:4673)=(cid:883). (cid:886)(cid:888) (cid:1872)=(cid:885). (cid:886)(cid:884, t(obtained) > t(critical). Step 4: h0 can be rejected. (m=35), t(30) = 3. 42, p<0. 05. M1 (distributed) = 19, ss1=284 m2 (massed) = 17, ss2=292. Step 1: h(cid:1004): (cid:1005) (cid:1006, h(cid:1005): (cid:1005) > (cid:1006)
