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D Question 30 2 pts Of the statistical tests listed below, which would be the MOST appropriate to analyze the data from this study? O Multiple Analysis of Variance (MANOVA) because more than one outcome (dependent) variable is being measured. Two-factor Analysis of Variance (ANOVA) because two independent (categorical) variables are involved. Student's t Test for Matched Pairs because subjects are being compared on the same outcome variable before and after exposure to the experimental treatment. O Chi square Analysis because the outcome data are ordinal (not continuous). O Student's t Test for Independent Samples because two groups are being compared. D Question 31 2 pts The experimental test statistic used to analyze this case (t, F, or x2) was reported as 26.50. The tabled statistic for the proper number of degrees of freedom was found to be 15.67 at the 0.01 level. What does this mean to the experimenters? The researchers can be 99% confident that insulin and vanadium had the same effects in the two groups. The researchers can be 99% confident that insulin exerted greater effect on serum glucose and systolic blood pressure in adult males with diabetes than did oral vanadium. The researchers can be 99% confident that insulin exerted a greater effect on serum glucose than oral vanadium, but no differential effect was seen on blood pressure in the two groups. The researchers can be 99% confident that insulin and vanadium did not have the same effects on the two groups. The researchers can be 99% confident that oral vanadium exerted greater effect on serum glucose and systolic blood pressure in adult males with diabetes than did insulin.D Question 29 1 pts When comparing a non-parametric statistical test (such as the Chi-squared test) to a parametric statistical test (such as the Student t Test), the non-parametric test: O has the same power as the parametric test. O is more likely to result in a Type I error, but less likely to result in a Type II error. is less likely to result in a Type I error, but more likely to result in a Type II error. O is less valid than the parametric test. O has greater power than the parametric test.D Question 27 2 pts Researchers are evaluating a new formula for predicting serum vancomycin levels based upon a patient's kidney function and the loading dose of vancomycin given. For each patient, the researchers predict the patient's peak vancomycin level based on the formula, and then draw an actual serum vancoymcin level from the patient. The predicted values are graphed along the y axis, and the actual serum levels are graphed along the x axis. The resulting Pearson's correlation coefficient (r) is calculated to be 0.90. This result means that the new formula predicts what percentage of the variability seen in the patients' actual serum vancomycin levels? O 30% O 81% O 9% O 90% O 95% D Question 28 2 pts In the following multiple regression equation, what is the dependent variable? Y (serum theophylline level) = mix, (loading dose) + m2X2 (creatinine clearance) + m3X3(smoker - yes or no?) + b (error term) O b (error term) O X sub 2 (creatitine clearance) O Y (serum theophylline level) X sub 1 (loading dose) X sub 3 (smoker - yes or no?)One of the complications of diabetes is cardiovascular disease, resulting in hypertension. Oral vanadium, a heavy metal, may help treat diabetes. The effects of vanadium on blood glucose and blood pressure in diabetic adult males were compared to the effects of insulin. Subjects were randomized to receive either vanadium or insulin. After several weeks, measurements of serum glucose and blood pressure were taken. The data are provided below: Mean Serum Glucose and Blood Pressures for Diabetic Adult Males Insulin Vanadium (n = 10) (n = 10) Serum glucose 115 +-10 mg/dL 190 +- 23 mg/dL Systolic blood pressure 122 +- 12 mm/Hg 126 +- 15 mmHg