Statistics Exercise 36 Answers

Exercise 36 Answers 1. Since the F evaluate is significant, based on the p-value of 0. 005 which is less than 0. 05 which is competent to reject the unsubstantial shot. This suggests that there is a difference in the control and discourse groups. 2. Since the p- value is less than 0. 05 and therefor the null hypothesis can be rejected. This presents that the mean, difficultness and mobility scores, must be different 3. The go was statistically significant with a fortune score of p 0. 001. 4. Yes, because 0. 001 0. 01 and would still be significant. . The 0. 04 0. 01 would indicate that there is no statistical significance and except the null and dissolve that there is no difference amid the groups. 6. NOVA cannot be used to raise proposed relationships or ringed correlations between variables in a hotshot group. This is because ANOVA is tests relationships within various groups and among the groups. 7. The instruct had 149 subjects and 2 groups 8. The strength of th e study where that they allow in a control group to test the dependent variable to examine the differences everyplace time.The weakness of the study comes from the low issuing of subjects in the study. More subjects would obtain do the study more creditable. 9. The study results indicated a significant improvement in the chafe scores of women with OA who received the interposition of head imagery (F(1, 26) =4. 406, p = 0. 046). Thus, the null hypothesis was rejected. But in my opinion I would have liked to have seen a larger number of subjects. Also, including the standard deviations for the treatment and control groups also are essential to calculate the effect size in the study.The effect size is needed to sway a power analysis to predict the sample size needed for hereafter studies. 10. Possible problems and limitation with the study is that the pain that leads to limited mobility and may lead to impairment which can hinder them form winning the treatments. Also, wit h it being over such a long time span you have to worry about subjects stopping the treatment and with a low number of subjects this could interpolate the data drastically.