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In the development of new drugs for the treatment of anxiety, it is important to

ID: 3131698 • Letter: I

Question

In the development of new drugs for the treatment of anxiety, it is important to check the drug's effects on various motor functions, one of which is driving. The Confab Pharmaceutical Company is testing four different tranquilizing drugs for their effects on driving skill. Subjects take a simulated driving test, and their scores reflect their error. The more severe errors lead to higher scores. The results of these tests produced in the following table.

Drug 1

Drug 2

Drug 3

Drug 4

ni

4

4

5

5

246

273

230

244

Si

8.37

6.06

10.42

6.63



Management would like to know if the four drugs affect the driving skill differently. State the appropriate null and alternative hypothesis

Select one:

D. H0:P1=P2=P3=P4 AND Ha P's are different

In the development of new drugs for the treatment of anxiety, it is important to check the drug's effects on various motor functions, one of which is driving. The Confab Pharmaceutical Company is testing four different tranquilizing drugs for their effects on driving skill. Subjects take a simulated driving test, and their scores reflect their error. The more severe errors lead to higher scores. The results of these tests produced in the following table.

Drug 1

Drug 2

Drug 3

Drug 4

ni

4

4

5

5

246

273

230

244

Si

8.37

6.06

10.42

6.63

Select one:

A. 247, 66.4625, 1399.3333, Ftest=21.0545

B. 248.25, 66.4625, 1408.7083, Ftest=21.1955

C. 248.25, 7.9636, 1408.7083, Ftest=176.8940

D. 247, 7.9636, 1399.3333, Ftest=175.7162

Drug 1

Drug 2

Drug 3

Drug 4

ni

4

4

5

5

246

273

230

244

Si

8.37

6.06

10.42

6.63

Explanation / Answer

Correct Answer: Option (C)

    since we have 4 groups, H0: the 4 groups population means are equal

                                           H1: the 4-groups population means are not equal

Correct Answer: Option (B)

         Since

SSE = 930.4747

Total observations 4+4+5+5 = 18

df of TSS = 18-1 =17

df of factor = 4-1 =3

and df of SSE = 17-3 = 14

Therefore, MSE = SSE/df = 930.4747/14 = 66.4625

Si Si^2 Si^2 / df 8.37 70.0569 210.1707 6.06 36.7236 110.1708 10.42 108.5764 434.3056 6.63 43.9569 175.8276 Total 930.4747