9FA5 - Econ. 180. Assignment 5. Sampling Distribution. 1....

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Econ. 180. Assignment 5. Sampling Distribution. 1. Statisticians, for the most part, are concerned with making statistical inferences concerning population parameters on the basis of partial or incomplete evidence. This incomplete evidence is provided by drawing samples from the populations and computing the values of appropriate statistics . Now, the value of a statistic will depend on the observed sample values , and therefore will vary from sample to sample . Before we can make reliable inferences concerning the value of a population parameter, it is essential that we understand the chance variations associated with the appropriate statistic for the particular sampling process being used. 2. A parameter is a numerical descriptive measure of a population . Because it is based on the observations in the population its value is almost always unknown . 3. A (sample) statistic is a numerical descriptive measure of a sample . It is calculated from the observations in the sample. 4. The sampling distribution is the probability distribution of the (sample) statistic. _ 5. The sample distribution of the sample mean (x) is the probability distribution of the
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This note was uploaded on 09/08/2010 for the course AAS 180 at San Jose State.

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9FA5 - Econ. 180. Assignment 5. Sampling Distribution. 1....

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