Question: There is a chance that the diet and exercise program this group of participants was enrolled in might influence their health scores. Thus, we have
There is a chance that the diet and exercise program this group of participants was enrolled in might influence their health scores. Thus, we have a second group of participants (different participants) on a different diet and exercise program. Without getting into the background, we hypothesize that if there is no difference between the two groups, we should not worry about the type of diet and exercise program the participants were on. Thus, test if there is a difference in the two diet and exercise programs (average health scores for those on Diet/Exercise Program A (in excel column D) versus average health scores for Diet/Exercise Program B (below)). Use the parametric approach and p- value method to make your decision. Diet/Exercise Program B 18.4 11.5 24 20.7 11.4 4 -4.5 6.6 22.2 -4.5 7.3 8.6 3.4 2.2 -4.8
| Person ID | education_after | education_before | diet_exercise_program A | health score | competency | exercise level | gender | disease status |
| 1 | 9.6 | 5.8 | 8.6 | 43 | 11 | Low | Female | 1 |
| 2 | 10.5 | 5.9 | 6.6 | 42 | 11 | High | Female | 0 |
| 3 | 9.7 | 6 | 18.4 | 36 | 9 | High | Female | 1 |
| 4 | 12 | 6.2 | 2.2 | 26 | 7 | High | Male | 0 |
| 5 | 10.4 | 6.5 | 7.3 | 40 | 11 | High | Male | 1 |
| 6 | 10.1 | 6.8 | 9.6 | 33 | 8 | High | Male | 0 |
| 7 | 9.6 | 7 | 11.4 | 34 | 8 | Low | Male | 1 |
| 8 | 7 | 6 | -4.8 | 50 | 11 | High | Male | 0 |
| 9 | 9.2 | 6.1 | -4.5 | 46 | 12 | High | Male | 1 |
| 10 | 10.3 | 7.5 | 9.2 | 49 | 12 | High | Male | 0 |
| 11 | 10.5 | 7.5 | 11.5 | 41 | 10 | High | Male | 1 |
| 12 | 10.4 | 7 | 8.9 | 43 | 10 | Low | Female | 0 |
| 13 | 6.7 | 8.6 | 7.2 | 38 | 9 | High | Male | 1 |
| 14 | 7.7 | 8.7 | 2.2 | 46 | 10 | High | Male | 0 |
| 15 | 8.8 | 8.9 | 3.4 | 44 | 10 | High | Male | 1 |
| 16 | 12 | 9.4 | -0.3 | 39 | 9 | Low | Female | 0 |
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