14. The proportion of hospitals in Example A of Section 7.2 that had fewer than 1000discharges is p = .654. Suppose that the total number of hospitals having fewerthan 1000 discharges is estimated from a simple random sample of size 25. Usethe central limit theorem to sketch the approximate sampling distribution of theestimate.

Question
Asked Feb 25, 2019
14. The proportion of hospitals in Example A of Section 7.2 that had fewer than 1000
discharges is p = .654. Suppose that the total number of hospitals having fewer
than 1000 discharges is estimated from a simple random sample of size 25. Use
the central limit theorem to sketch the approximate sampling distribution of the
estimate.
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14. The proportion of hospitals in Example A of Section 7.2 that had fewer than 1000 discharges is p = .654. Suppose that the total number of hospitals having fewer than 1000 discharges is estimated from a simple random sample of size 25. Use the central limit theorem to sketch the approximate sampling distribution of the estimate.

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Step 1

Given that the proportion of discharges fewer than 1000 is p = 0.654.

Sample size = 25.

According to central limit theorem the sampling distribution of the estimate will be ...

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