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Introduction to Categorical Data Analysis

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PROBLEMS 63<br />

Table 2.17. <strong>Data</strong> for Problem 2.30<br />

Cancer Cancer Not<br />

Controlled Controlled<br />

Surgery 21 2<br />

Radiation therapy 15 3<br />

Source: W. Mendenhall et al., Int. J. Radiat. Oncol. Biol. Phys., 10:<br />

357–363, 1984. Reprinted with permission from Elsevier Science Ltd.<br />

2.32 Of the six candidates for three managerial positions, three are female and three<br />

are male. Denote the females by F1, F2, F3 and the males by M1, M2, M3.<br />

The result of choosing the managers is (F2, M1, M3).<br />

a. Identify the 20 possible samples that could have been selected, and construct<br />

the contingency table for the sample actually obtained.<br />

b. Let p1 denote the sample proportion of males selected and p2 the sample<br />

proportion of females. For the observed table, p1 − p2 = 1/3. Of the 20<br />

possible samples, show that 10 have p1 − p2 ≥ 1/3. Thus, if the three<br />

managers were randomly selected, the probability would equal 10/20 =<br />

0.50 of obtaining p1 − p2 ≥ 1/3. This reasoning provides the P -value for<br />

Fisher’s exact test with Ha: π1 >π2.<br />

2.33 In murder trials in 20 Florida counties during 1976 and 1977, the death penalty<br />

was given in 19 out of 151 cases in which a white killed a white, in 0 out of<br />

9 cases in which a white killed a black, in 11 out of 63 cases in which a<br />

black killed a white, and in 6 out of 103 cases in which a black killed a black<br />

(M. Radelet, Am. Sociol. Rev., 46: 918–927, 1981).<br />

a. Exhibit the data as a three-way contingency table.<br />

b. Construct the partial tables needed <strong>to</strong> study the conditional association<br />

between defendant’s race and the death penalty verdict. Find and interpret<br />

the sample conditional odds ratios, adding 0.5 <strong>to</strong> each cell <strong>to</strong> reduce the<br />

impact of the 0 cell count.<br />

c. Compute and interpret the sample marginal odds ratio between defendant’s<br />

race and the death penalty verdict. Do these data exhibit Simpson’s paradox?<br />

Explain.<br />

2.34 Smith and Jones are baseball players. Smith had a higher batting average than<br />

Jones in 2005 and 2006. Is it possible that, for the combined data for these two<br />

years, Jones had the higher batting average? Explain, and illustrate using data.<br />

2.35 At each age level, the death rate is higher in South Carolina than in Maine, but<br />

overall the death rate is higher in Maine. Explain how this could be possible.<br />

(For data, see H. Wainer, Chance, 12: 44, 1999.)

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