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694 CHAPTER 13 NONPARAMETRIC AND DISTRIBUTION-FREE STATISTICS<br />

13.3.2 Determining the effects of grapefruit juice on pharmacokinetics of oral digoxin (a drug often prescribed<br />

for heart ailments) was the goal of a study by Parker et al. (A-1). Seven healthy nonsmoking<br />

volunteers participated in the study. Subjects took digoxin with water for 2 weeks, no digoxin<br />

for 2 weeks, and digoxin with grapefruit juice for 2 weeks. The average peak plasma digoxin<br />

concentration (Cmax) when subjects took digoxin with water is given in the first column of the<br />

following table. The second column gives the Cmax concentration when subjects took digoxin with<br />

grapefruit juice. May we conclude on the basis of these data that the Cmax concentration is higher<br />

when digoxin is taken with grapefruit juice Let a = .05.<br />

Cmax<br />

Subject<br />

H 2 O<br />

GFJ<br />

1 2.34 3.03<br />

2 2.46 3.46<br />

3 1.87 1.97<br />

4 3.09 3.81<br />

5 5.59 3.07<br />

6 4.05 2.62<br />

7 6.21 3.44<br />

Source: Robert B. Parker, Pharm.D.<br />

Used with permission.<br />

13.3.3 A sample of 15 patients suffering from asthma participated in an experiment to study the effect of<br />

a new treatment on pulmonary function. Among the various measurements recorded were those of<br />

forced expiratory volume (liters) in 1 second 1FEV 1 2 before and after application of the treatment.<br />

The results were as follows:<br />

Subject Before After Subject Before After<br />

1 1.69 1.69 9 2.58 2.44<br />

2 2.77 2.22 10 1.84 4.17<br />

3 1.00 3.07 11 1.89 2.42<br />

4 1.66 3.35 12 1.91 2.94<br />

5 3.00 3.00 13 1.75 3.04<br />

6 .85 2.74 14 2.46 4.62<br />

7 1.42 3.61 15 2.35 4.42<br />

8 2.82 5.14<br />

On the basis of these data, can one conclude that the treatment is effective in increasing the FEV 1<br />

level Let a = .05 and find the p value.<br />

13.4 THE WILCOXON SIGNED-RANK<br />

TEST FOR LOCATION<br />

Sometimes we wish to test a null hypothesis about a population mean, but for some reason<br />

neither z nor t is an appropriate test statistic. If we have a small sample 1n 6 302 from<br />

a population that is known to be grossly nonnormally distributed, and the central limit theorem<br />

is not applicable, the z statistic is ruled out. The t statistic is not appropriate because

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