5.2 Confidence Interval for a Population Mean: Normal (z) Statistic

Suppose a large hospital wants to estimate the average length of time patients remain in the hospital. Hence, the hospital’s target parameter is the population mean μ. To accomplish this objective, the hospital administrators plan to randomly sample 100 of all previous patients’ records and to use the sample mean x¯ of the lengths of stay to estimate μ, the mean of all patients’ visits. The sample mean x¯ represents a point estimator of the population mean μ. How can we assess the accuracy of this large-sample point estimator?

According to the Central Limit Theorem, the sampling distribution of the sample mean is approximately normal for large samples, as shown in ...

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