February 2020
Intermediate to advanced
688 pages
18h 35m
English
Content preview from Principles of Managerial Statistics and Data Science
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9Interval Estimation for One Population Parameter
9.1 Introduction
For the most part, we have been assuming the values of the parameters of a distribution are known. Often, we wish to reach managerial decisions, and we can express a problem at hand in terms of an unknown parameter value. By drawing inference on the value of the parameter, we can solve the managerial problem. To perform inference effectively, the best estimator of a parameter among many choices must be used. Chapter 8 covered the properties that help determine what the best estimator for a parameter is. However, once the best estimator is found, it is not enough to get an estimate from it to perform inference.1
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