A statistical consultant was retained by a linen supplier to analyze a survey of hospital purchasing managers.

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A statistical consultant was retained by a linen supplier to analyze a survey of hospital purchasing managers. After looking at the data, she realized that the survey had missed several key geographic areas and included some that were outside the target region. Some survey questions were ambiguous. Some respondents failed to answer all the questions or gave silly replies (one manager said he worked 40 hours a day). Of the 1,000 surveys mailed, only 80 were returned.
(a) What alternatives are available to the statistician?
(b) Might an imperfect analysis be better than none?
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