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SUPPLEMENTARY EXERCISES for ... - WH Freeman

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Section 1 3Table S1 Percent of residents aged 65 and over in the states (1998)State Percent State Percent State PercentAlabama 13.1 Louisiana 11.5 Ohio 13.4Alaska 5.5 Maine 14.1 Oklahoma 13.4Arizona 13.2 Maryland 11.5 Oregon 13.2Arkansas 14.3 Massachusetts 14.0 Pennsylvania 15.9Cali<strong>for</strong>nia 11.1 Michigan 12.5 Rhode Island 15.6Colorado 10.1 Minnesota 12.3 South Carolina 12.2Connecticut 14.3 Mississippi 12.2 South Dakota 14.3Delaware 13.0 Missouri 13.7 Tennessee 12.5Florida 18.3 Montana 13.3 Texas 10.1Georgia 9.9 Nebraska 13.8 Utah 8.8Hawaii 13.3 Nevada 11.5 Vermont 12.3Idaho 11.3 New Hampshire 12.0 Virginia 11.3Illinois 12.4 New Jersey 13.6 Washington 11.5Indiana 12.5 New Mexico 11.4 West Virginia 15.2Iowa 15.1 New York 13.3 Wisconsin 13.2Kansas 13.5 North Carolina 12.5 Wyoming 11.5Kentucky 12.5 North Dakota 14.4S1.12 A manufacturing company is reviewing the salaries of its full-time employees below theexecutive level at a large plant. The clerical staff is almost entirely female, while a majority ofthe production workers and technical staff are male. As a result, the distributions of salaries <strong>for</strong>male and female employees may be quite different. The table below gives the frequencies andrelative frequencies <strong>for</strong> women and men. Make histograms from these data, choosing the typethat is most appropriate <strong>for</strong> comparing the two distributions. Then describe the overall shapeof the two salary distributions and the chief differences between them.Salary Women Men($1000) Number % Number %10–15 89 11.8 26 1.115–20 192 25.4 221 9.020–25 236 31.2 677 27.925–30 111 14.7 823 33.630–35 86 11.4 365 14.935–40 25 3.3 182 7.440–45 11 1.5 91 3.745–50 3 0.4 33 1.450–55 2 0.3 19 0.855–60 0 0.0 11 0.460–65 0 0.0 0 0.065–70 1 0.1 3 0.1Total 756 100.1 2451 100.0

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