Ch9-Probability & Hypo.doc

1 a health researcher compares a program of dieting d

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1. A health researcher compares a program of dieting (D) to a program of dieting and exercise (DE) on blood cholesterol levels. The DE group had a mean reduction in cholesterol 20% greater than the D group. This resulted in a calculated statistic of t = 4.50 with a critical statistic of t+ 2.30 at p = .05. What do you conclude? 2. A recreation researcher wanted to compare the average percentage of income spent on leisure activities from families in Utah and Nebraska. The results showed that Utah families averaged 18% spent, whereas the Nebraska families averaged 12%. The calculated t = 3.25 with a critical t± 2.65 at p = .05. What do you conclude? 3. An exercise science researcher is interested in comparing running 4 days per week to 6 days per week for improving aerobic capacity. The result of the study was a 3% mean difference between the two groups favoring 6 days per week. This resulted in a calculated t = 1.25 with a critical t± 2.45 at p = .05. What do you conclude? 4. A health researcher wanted to compare biofeedback with a relaxation technique in reducing stress levels. At the conclusion of the study, the biofeedback group reduced stress levels 10%, whereas the relaxation group reduced stress by 12%. This resulted in a calculated it = 1.85 with a critical t+ 2.25 at p = .05. What do you conclude? 9-11

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5. A physical education researcher wanted to compare the results of percent body fat measures obtained by underwater weighing (UWW) and skinfolds (SK). The results showed a mean 3.1% fat overestimation by the SK. This resulted in a calculated t = 7.95 with a critical t+ 3.75 at p = .01. What do you conclude? 9-12
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• Spring '11
• OxanaWieland
• Statistics, Null hypothesis, Statistical hypothesis testing, researcher, Statistical significance, Type I and type II errors

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