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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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