STAT 1400 Lecture Notes - Lecture 11: Minitab, Twin Study, Caffeine
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Matched pairs t procedures: sometimes we want to compare treatments or conditions at the individual level. The data sets produced this way are not independent. In these cases, we use the paired data to test for the difference in the two population means. The variable studied becomes = average difference, and. H0: difference = 0; ha: difference (cid:1004) (cid:894)or < (cid:1004), or > (cid:1004)(cid:895: example: study participants: 53 obese children ages 9 to 12 with a bmi above the 95th percentile for age and gender. Intervention: family counseling sessions on the stoplight diet (green/yellow/red approach to eating food) - after 8 weekly sessions and 3 follow-up sessions. Assessment: weight change at 15 weeks of intervention. H0: d = 0 versus ha: d < 0 (one-sided test) The weight change values are the difference in body weight before and after intervention for each participant. *always graph your data just because you can and it provides information.
