PSYC 1010 Lecture Notes - Lecture 17: Null Hypothesis, Repeated Measures Design, Statistical Hypothesis Testing

• School: University of Guelph
• Department: Psychology
• Course: PSYC 1010
• Professor: Trick Lana

Document Summary

Lecture 17: march 21, 2017 (chapter 11 within subjects t-test) *afte(cid:396) (cid:455)ou ha(cid:448)e the diffe(cid:396)e(cid:374)(cid:272)es, (cid:455)ou a(cid:374)al(cid:455)ze the diffe(cid:396)e(cid:374)(cid:272)es i(cid:374)stead of the (cid:396)a(cid:449) s(cid:272)o(cid:396)es . But you know that by the null hypothesis (ho), the difference between conditions will be zero! t = md md smd. Difference (d) = after treatment-before treatment (depression test scores) *you can also define the difference before-after, and it will be fine ***as long as you are. Consistent with yourself throughout the hypothesis testing process*** *your hypotheses are about the differences that occurred across testings in the two conditions (test times) in each individual: D = (before treatment depression score) - (after treatment depression score). You create the sampling distribution that is based on all the possible mean differences (changes over time) you might expect if ho is true (and the treatment has no effect). If the treatment has no effect, then d would equal (cid:1004).