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...


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

Extracted text: 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.

Jun 01, 2022
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