1. The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1, 22) = 9.619, p = 0.005. Discuss each aspect of these results.
* The F-value suggests that there is a significant difference between the results of the control and treatment groups. The P-value of 0.005 is < the alpha of 0.05. This suggest that the groups are significantly different and the null hypothesis should be rejected.
2. State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of the GI with PMR treatment on patients’ mobility level. Should the null hypothesis be rejected for the difference between the two groups in change in mobility scores over 12 weeks? Provide a rationale for your answer.
* Treatment group mean = control group mean
* With the p-value being < the alpha, the null hypothesis would be rejected indicating the difference in the mean mobility scores.
3. The researchers stated that the participants in the intervention group reported a reduction in mobility difficulty at week 12. Was this result statistically significant, and if so at what probability?
* The p-value of 0.005 suggests that the results are statistically significant.
4. If the researchers had set the level of significance or α = 0.01, would the results of p = 0.001 still be statistically significant? Provide a rationale for your answer.
* Yes, 0.001 is the α of 0.01, the null hypothesis would be accepted.
6. Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group? Provide a rationale for your answer.
* ANOVA tests differences in relationships among and within groups. To do this, the test requires more than one sample group. ANOVA cannot be used in this situation.
7. If a study had a result of F(2, 147) = 4.56, p = 0.003, how many groups were in the study, and what was