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sampling distribution

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sampling distribution [′samp·liŋ ‚dis·trə‚byü·shən]
(statistics)
A distribution of the estimates that can be made by each of all possible samples of a fixed size that could be taken from a universe.
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But aside from these difficulties, we know that sampling distributions of means are typically normal (Gaussian), regardless of the shape of the underlying raw score distribution.
The Black Swan: The Impact of the Highly Improbable by Chiszar, David; Costain, W. Douglas / The Psychological Record
of California-Riverside introduce descriptive data analysis for one and two variables, probability and sampling distributions, the analysis of variance, linear regression, and multiple regression analysis.
Introduction to probability and statistics, 13th ed by SciTech Book News
Understanding the concept of the sampling distribution of a statistic is essential for the understanding of inferential procedures.
Illustrating sampling distribution of a statistic: Minitab revisited by Johnson, H. Dean; Evans, Marc A. / Australian Mathematics Teacher
 
 
 
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