STA_Notes_10.03.07

# STA_Notes_10.03.07 - STA Class Ch 6 Sampling Distributions...

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STA Class 13:05:42 Ch 6 Sampling Distributions o In solving most practical problems, the assumption that distributions and parameters are known is unrealistic o In inferential statistics, we use sample data to estimate distributions and parameters o You need to read 6.1 – 6.3 in order to understand the concept of sampling distributions. Population Distribution: o The population distribution is the distribution of original values. o Shape of distribution may be unknown o Parameters are usually unknown o Focus is to make inferences about its parameters, such as µ and σ using a sample of size n. Section 6.1 Sampling Distribution o A probability distribution of a sample statistic such as the sample mean when samples of size n are taken repeatedly Describes the variability of the statistic Computer Stimulation Generated by repeating s sampling experiment a very large number of times 6.2 Properties of Sampling Distributions o Point Estimator—a rule or formula that tells us how to use the sample data to

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## This note was uploaded on 04/07/2008 for the course STA 2023 taught by Professor Bagwhandee during the Fall '07 term at University of Central Florida.

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STA_Notes_10.03.07 - STA Class Ch 6 Sampling Distributions...

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