Chapter 06

Chapter 06 - Sampling Distributions The Concept of Sampling...

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Sampling Distributions
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The Concept of Sampling Distributions Parameter numerical descriptive measure population unknown a Statistic numerical descriptive measure sample known a Sampling Distribution probability distribution of a statistic
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Properties of Sampling Distributions: Unbiasedness and Minimum Variance Point Estimator formula or rule for using sample data to calculate an estimate of a population parameter Point estimators have sampling distributions. These sampling distributions tell us how accurate of an estimate the point estimator is likely to be. Sampling distributions can also indicate whether an estimator is likely to under- or over-estimate a parameter.
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Distributions: Unbiasedness and Minimum Variance Consider two statistics, A and B. A is an unbiased estimator of θ. μ A = θ B is an over-estimate of θ. μ
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This note was uploaded on 04/17/2008 for the course STAT 110 taught by Professor Pace during the Fall '07 term at Winona.

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Chapter 06 - Sampling Distributions The Concept of Sampling...

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