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| Teaching Since: | May 2017 |
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MBA (IT), PHD
Kaplan University
Apr-2009 - Mar-2014
Professor
University of Santo Tomas
Aug-2006 - Present
An estimate of a population parameter may be expressed in two ways:
POINT ESTIMATION A point estimate of a population parameter is a single value of a statistic. For example, the sample mean ##barx## is a point estimate of the population mean μ. Similarly, the sample proportion p is a point estimate of the population proportion P.
INTERVAL ESTIMATION An interval estimate is defined by two numbers, between which a population parameter is said to lie.For example a < x < b is an interval estimate of the population mean μ. It indicates that the population mean is greater than a but less than b.
In any estimation problem, we need to obtain both a point estimate and an interval estimate. The point estimate is our best guess of the true value of the parameter, while the interval estimate gives a measure of accuracy of that point estimate by providing an interval that contains plausible values.
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