It’s hard for smokers to quit. Perhaps prescribing a drug to fight

depression will work as well as the usual nicotine patch. Perhaps combining the patch and

the drug will work better than either treatment alone. Here are data from a randomized,

double-blind trial that compared four treatments.

A “success” means that the subject did not smoke for a year following the start of the study.

a. Summarize these data in a two-way table.

b. Do the data provide convincing evidence of a difference in the effectiveness of the four

treatments at theα=0.05significance level?

Short Answer

Expert verified

(a) To construct the two-way table, let the treatments be given in the rows and let the successes/failures be given in the columns.

(b)We dismiss invalid and conclude there's adequate prove that the victory rate depends on treatment type. I.e., there's distinction within the adequacy of four treatments.

Step by step solution

01

Part (a) Step 1: Given informantion

We have been given the data of smokers and which of them quit.

02

Part(a) Step 2: Explanation

To construct the two-way table, let the treatments be given in the rows and let the successes/failures be given in the columns.

We then already know the number of successes for each treatment and the row totals (which are the number of subjects). The number of failures is then the row total decreased by the number of successes. The column totals is the sum of all counts in the column.


NicotineDrugNicotine+DrugPlacebo
Success43
81
93
33
250
Failure205
167
137
137
666

248
248
170
170
916
03

Part(b) Step 1: Given information

We have been given the data of smokers and which of them quit.



04

Part(b) Step 2: Explanation

χ2=i(oi-ei)2/ei=33.67(oi:obsvd,ei:expected)p-value=P(χ"tf-3"2>33.67)=2.32*10(-7)<<0.05

So we dismiss invalid and conclude there's adequate prove that the victory rate depends on treatment type. I.e., there's distinction within the adequacy of four treatments.

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Most popular questions from this chapter

For these data, χ2=69.8with a P-value of approximately 0. Assuming that the researchers used a significance level of 0.05, which of the following is true?

a. A Type I error is possible.

b. A Type II error is possible.

c. Both a Type I and a Type II error are possible.

d. There is no chance of making a Type I or Type II error because the P-value is approximately 0.

e. There is no chance of making a Type I or Type II error because the calculations are correct.

Inference recap (8.1to 11.2) In each of the following settings, state which inference procedure from Chapter 8,9,10,or11you would use. Be specific. For example, you might answer, “Two-sample z test for the difference between two proportions.” You do not have to carry out any procedures.

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