31. Mortgage Industry Employees. In an issue of National Mort- gage News, a special report was published on publicly traded mort- gage industry companies. A sample of 25 mortgage industry compa- nies had the following numbers of employees. 260 20,800 1,801 2,073 3,596 3,223 2,128 17,540 7,000 1,796 15 29,272 6,929 2,468 6,600 2,458 3,216 209 726 9,200 650 4,800 19,400 24,886 3,082 a. Obtain a normal probability plot of the data. b. Use part (a) to identify any outliers. c. Use part (a) to assess the normality of the variable under consideration.

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31. Mortgage Industry Employees. In an issue of National Mort-
gage News, a special report was published on publicly traded mort-
gage industry companies. A sample of 25 mortgage industry compa-
nies had the following numbers of employees.
260 20,800
3,223
1,801
2,073 3,596
2,128
1,796
17,540
15
29,272
6,929
2,468
7,000
6,600
2,458
3,216
209
726
9,200
650
4,800
19,400
24,886
3,082
a. Obtain a normal probability plot of the data.
b. Use part (a) to identify any outliers.
c. Use part (a) to assess the normality of the variable under
consideration.
Transcribed Image Text:31. Mortgage Industry Employees. In an issue of National Mort- gage News, a special report was published on publicly traded mort- gage industry companies. A sample of 25 mortgage industry compa- nies had the following numbers of employees. 260 20,800 3,223 1,801 2,073 3,596 2,128 1,796 17,540 15 29,272 6,929 2,468 7,000 6,600 2,458 3,216 209 726 9,200 650 4,800 19,400 24,886 3,082 a. Obtain a normal probability plot of the data. b. Use part (a) to identify any outliers. c. Use part (a) to assess the normality of the variable under consideration.
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