Type 1 Type 2 Type 3 Type 4 7.3 9.7 8.6 10.4 -1.1 -1.2 -1.1 -2.6 17.4 20.9 16.9 21.1 5.6 7.4 8.1 4.6 Questions 10 through 15. Medical researchers want to know if four different medications lead to different mean blood pressure reductions in patients. They randomly assign 4 patients to use each medication for one month, then measure the blood pressure both before and after the patient started using the medication to find the mean blood pressure reduction for each medication. The recorded data are given as below. Consider a one-way ANOVA model and use a significance level a = 0.01. 10. Determine the sum of squares that describes the variability of observations from the sample means. (A) 29.855 B 34.8543 (D) 22.8549 (E) 894.4 11. Find the test statistic value. (A) 113.8324 (B) 109.8326 12. Determine the rejection region. 864.545 121.832 (D 115.8325 E 119.8321 A[-, 3.67] [-, 5.95] C [7.23, +] D [5.95, +00] E [3.67,+00] 13. Calculte the least significant difference (LSD) if the Fisher's multiple comparisions method is used. (A) 3.1514 (B) 3.4073 (C) 4.9354 (D) 4.5239 E 1.6969 14. Construct a 99% confidence interval on the difference in the mean blood pressure reductions for type 1 and type 2 medication. [5.2038, 12.0184] [9.6478, 16.4624] [7.0927, 13.9073] [7.9813, 14.7959] [8.5368, 15.3514] 15. Find a 99% confidence interval for the mean of blood pressure reduction of type 1 medication. A [9.1458, 13.9644] B [4.1463, 8.9649] [6.5907, 11.4093] [5.5927, 12.4073] [5.2573, 10.0759]