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ST3239: Survey Methodology - The Department of Statistics and ...

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Solution<br />

A. <strong>The</strong> proportions choosing “banned” are independent <strong>of</strong> each other; a high value does not<br />

force a low value <strong>of</strong> the other. Thus, an appropriate estimate <strong>of</strong> this difference is<br />

√<br />

0.44 × 0.56<br />

0.44 − 0.08 ± 2<br />

+<br />

600<br />

0.08 × 0.92<br />

200<br />

= 0.36 ± 0.06<br />

B. <strong>The</strong> proportion <strong>of</strong> nonsmokers choosing “special areas” is dependent on the proportions<br />

choosing “banned”; if the latter is large, the former must be small. <strong>The</strong>se are multinomial<br />

proportions. Thus, an appropriate estimate <strong>of</strong> this difference is<br />

√<br />

0.44 × 0.56<br />

0.52 − 0.44 ± 2<br />

+<br />

600<br />

0.52 × 0.48<br />

600<br />

+ 2 ×<br />

0.44 × 0.52<br />

600<br />

= 0.08 ± 0.08<br />

Example <strong>The</strong> major league baseball season in US came to an abrupt end in the middle <strong>of</strong><br />

1994. In a poll <strong>of</strong> 600 adult Americans, 29% blamed the players for the strike, 34% blamed<br />

the owners, <strong>and</strong> the rest held various other opinions. Does evidence suggest that the true<br />

proportions who blame players <strong>and</strong> owner, respectively, are really different?<br />

p 1 : proportions <strong>of</strong> Americans who blamed the players.<br />

p 2 : proportions <strong>of</strong> Americans who blamed the owners.<br />

ˆV ar(ˆp 1 − ˆp 2 ) = ˆp 1ˆq 1<br />

n + ˆp 2ˆq 2<br />

n + 2ˆp 1ˆp 2<br />

n<br />

= ˆ0.29 × ˆ0.71 0.34 × 0.66<br />

+<br />

600 600<br />

= 1.0458 × 10 −3<br />

So an approximate 95% C.I. for p 1 − p 2 is<br />

+<br />

0.29 − 0.34 ± z 0.025<br />

√<br />

ˆV ar(ˆp1 − ˆp 2 )<br />

= −0.05 ± 1.96 × 0.03234<br />

= (−0.11339, 0.01339)<br />

2 × 0.29 × 0.34<br />

600<br />

21

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