was measured at the beginning and end of the study, and the reduction was recorded for each subject w diets for four wee

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Was Measured At The Beginning And End Of The Study And The Reduction Was Recorded For Each Subject W Diets For Four Wee 1 (60.11 KiB) Viewed 28 times

Was Measured At The Beginning And End Of The Study And The Reduction Was Recorded For Each Subject W Diets For Four Wee 2 (45.32 KiB) Viewed 28 times

was measured at the beginning and end of the study, and the reduction was recorded for each subject w diets for four weeks: a fish oil diet and regular oil diet. The subjects' diastolic blood pressure A) 3. Researchers randomly assigned 14 male volunteers with high blood pressure to one of (based on a study published in the New England Journal of Medicine). Prior to conducting the study, blood pressure than those on the regular oil diet. The results were: earchers conjectured that those on the fish oil diet would tend to experience greater reductions in Fish oil diet: 8 12 10 14 2 0 0 Regular oil diet: -6 0 1 2 -3 -4 2 a. (1 pt) Identify the explanatory and response variables. Also clasify each as being categorical or quantitative b. (2 pts) Calculate the mean and median blood pressure reductions in each group. Does the "fish oil" group have a higher mean and median reduction than the "regular oil" group? Is this consistent with the researchers'conjecture? c. (pt) How many ways are there to randomly assign 14 subjects into two groups of 7 each? d. (pt) The following graph was obtained by simulating a randomization test on these data. Describe the region of this graph corresponding to the approacimate p-value from the simulation. Also indicate whether the p-value appears to be less than or greater than 05

Total Shuffles = 1000 Mesne 0039 SD3.223 0 09 Count 8 120 180 180 -10 10 -5 Shuffled Diferences in Means e. (8 pts) Interpret what the p-value means in the context of this study E. (pt) Summarize your conclusions from this study. Include an explanation of the reasoning process behind your conclusion. Be sure to address the issues of causation (le, is a cause-and-effect conclusion warranted?) and generalizability (le, how brondly can you legitimately generalize your conclusion?). as well as the issue of statistical significance.