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Applied Statistics Using SPSS, STATISTICA, MATLAB and R

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104 3 Estimating Data Parameters<br />

A: The histogram <strong>and</strong> box plot of the ART data (n = 150 cases) are shown in<br />

Figure 3.11. The sample median <strong>and</strong> sample mean of ART are med ≡ w = 263 <strong>and</strong><br />

x = 324, respectively. The distribution of ART is clearly right skewed; hence, the<br />

mean is substantially larger than the median (almost one <strong>and</strong> half times the<br />

st<strong>and</strong>ard deviation). The histogram of the bootstrap distribution of the median with<br />

m = 1000 resamples is shown in Figure 3.12. We compute:<br />

wboot = 266.1210<br />

SEboot = 20.4335<br />

The bias wboot − w = 266 – 263 = 3 is quite small (less than 7% of the st<strong>and</strong>ard<br />

deviation). We therefore compute the bootstrap confidence interval of the median<br />

as:<br />

w ± t SE = 263 ± 1.976×20.4335 = 263 ± 40<br />

40<br />

n<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

149,<br />

0.<br />

975<br />

boot<br />

x<br />

0<br />

a 0 100 200 300 400 500 600 700 800 900<br />

900<br />

x<br />

800<br />

700<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

b 0<br />

Figure 3.11. Histogram (a) <strong>and</strong> box plot (b) of the ART data.<br />

500<br />

n<br />

450<br />

400<br />

350<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

x*<br />

0<br />

180 200 220 240 260 280 300 320 340<br />

Figure 3.12. Histogram of the bootstrap distribution of the median of the ART data<br />

(1000 resamples).<br />

ART

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