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Before/After Treatment Results Captopril is a drug designed to lower systolic blood pressure. When subjects were treated with this drug, their systolic blood pressure readings (in mm Hg) were measured before and after the drug was taken. Results are given in the accompanying table (based on data from 鈥淓ssential Hypertension: Effect of an Oral Inhibitor of Angiotensin-Converting Enzyme,鈥 by MacGregor et al., British Medical Journal, Vol. 2). Using a 0.01 significance level, is there sufficient evidence to support the claim that captopril is effective in lowering systolic blood pressure?

Subject

A

B

C

D

E

F

G

H

I

J

K

L

Before

200

174

198

170

179

182

193

209

185

155

169

210

After

191

170

177

167

159

151

176

183

159

145

146

177

Short Answer

Expert verified

There is enough evidence to conclude that the drug Captopril is effective in lowering systolic blood pressure levels.

Step by step solution

01

Given information

The systolic blood pressure measurements of a sample of 12 subjects are recorded as:鈥渂efore the drug Captopril is taken鈥 and 鈥渁fter the drug Captopril is taken鈥.

02

Hypotheses

It is claimed that the drug Captopril is effective in lowering systolic blood pressure levels.

Corresponding to the given claim, the following hypotheses are set up:

Null Hypothesis:

\({H_0}:{\mu _d} = 0\)

Alternative Hypothesis:

\({H_1}:{\mu _d} > 0\)

The test is right-tailed.

Where \({\mu _d}\)be the mean difference between the systolic blood pressure levels before and after taking the drug.

03

Differences in the values of each matched pair

The following table shows the differences in the systolic blood pressure levels for each matched pair:

Subject

A

B

C

D

E

F

G

H

I

J

K

L

Before

200

174

198

170

179

182

193

209

185

155

169

210

After

191

170

177

167

159

151

176

183

159

145

146

177

Differences

(\({d_i}\))

9

4

21

3

20

31

17

26

26

10

23

33

The mean value of the differences is computed below:

\(\begin{aligned} \bar d &= \frac{{\sum\limits_{i = 1}^n {{d_i}} }}{n}\\ &= \frac{{9 + 4 + ...... + 33}}{{12}}\\ &= 18.58\end{aligned}\)

The standard deviation of the differences is computed below:

\(\begin{aligned} {s_d} &= \sqrt {\frac{{\sum\limits_{i = 1}^n {{{({d_i} - \bar d)}^2}} }}{{n - 1}}} \\ &= \sqrt {\frac{{{{\left( {9 - 18.58} \right)}^2} + {{\left( {4 - 18.58} \right)}^2} + ....... + {{\left( {33 - 18.58} \right)}^2}}}{{12 - 1}}} \\ &= 10.10\end{aligned}\)

The mean value of the differences for the population of matched pairs \(\left( {{\mu _d}} \right)\) is considered to be equal to 0.

04

Calculate the test statistic, critical value and p-value

The value of the test statistic is computed as shown:

\(\begin{aligned} t &= \frac{{\bar d - {\mu _d}}}{{\frac{{{s_d}}}{{\sqrt n }}}}\\ &= \frac{{18.58 - 0}}{{\frac{{10.10}}{{\sqrt {12} }}}}\\ &= 6.371\end{aligned}\)

The degrees of freedom are computed below:

\(\begin{aligned} df &= n - 1\\ &= 12 - 1\\ &= 11\end{aligned}\)

The critical value of t at\(\alpha = 0.01\)and degrees of freedom equal to 11 for a right-tailed test is equal to 2.7181.

The corresponding p-value is equal to 0.00003.

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Most popular questions from this chapter

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Testing Claims About Proportions. In Exercises 7鈥22, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.

Accuracy of Fast Food Drive-Through Orders In a study of Burger King drive-through orders, it was found that 264 orders were accurate and 54 were not accurate. For McDonald鈥檚, 329 orders were found to be accurate while 33 orders were not accurate (based on data from QSR magazine). Use a 0.05 significance level to test the claim that Burger King and McDonald鈥檚 have the same accuracy rates.

a. Test the claim using a hypothesis test.

b. Test the claim by constructing an appropriate confidence interval.

c. Relative to accuracy of orders, does either restaurant chain appear to be better?

Testing Claims About Proportions. In Exercises 7鈥22, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.

Are Seat Belts Effective? A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2823 occupants not wearing seat belts, 31 were killed. Among 7765 occupants wearing seat belts, 16 were killed (based on data from 鈥淲ho Wants Airbags?鈥 by Meyer and Finney, Chance, Vol. 18, No. 2). We want to use a 0.05 significance level to test the claim that seat belts are effective in reducing fatalities.

a. Test the claim using a hypothesis test.

b. Test the claim by constructing an appropriate confidence interval.

c. What does the result suggest about the effectiveness of seat belts?

Testing Claims About Proportions. In Exercises 7鈥22, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.

Cell Phones and Handedness A study was conducted to investigate the association between cell phone use and hemispheric brain dominance. Among 216 subjects who prefer to use their left ear for cell phones, 166 were right-handed. Among 452 subjects who prefer to use their right ear for cell phones, 436 were right-handed (based on data from 鈥淗emi- spheric Dominance and Cell Phone Use,鈥 by Seidman et al., JAMA Otolaryngology鈥擧ead & Neck Surgery, Vol. 139, No. 5). We want to use a 0.01 significance level to test the claim that the rate of right-handedness for those who prefer to use their left ear for cell phones is less than the rate of right-handedness for those who prefer to use their right ear for cell phones. (Try not to get too confused here.)

a. Test the claim using a hypothesis test.

b. Test the claim by constructing an appropriate confidence interval.

Hypothesis and conclusions refer to the hypothesis test described in exercise 1.

a. Identify the null hypothesis and alternative hypothesis

b. If the p-value for test is reported as 鈥渓ess than 0.001,鈥 what should we conclude about the original claim?

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