# sampling distribution

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Related to sampling distribution: Central limit theorem

## sampling distribution

n.
The distribution of a statistic, such as the sample mean, calculated from data randomly sampled from a population.
References in periodicals archive ?
This difference is important, since it makes the sampling distribution of [z.
The learning activity at the center of the IVN study reported in this article was planned around an existing tutorial structure and content of a 50-minute class aimed at consolidating the key statistical concepts of the normal distribution and sampling distribution of the sample mean, both introduced in a lecture.
a) addressing service requirements for AMM system (a system for remote measurements and remote control of sampling distribution networks);
html), such as the sampling distribution simulation, simulation on the effect of range restrictions, etc.
The subscription base sample distribution is becoming more popular and appealing to indie and mature brands, which find this model more targeted; however sampling distribution via event marketing and gift with purchase remain strong" Identipak recently collaborated with Pinrose, a luxury fragrance company that subscribes to the try-at-home-before-you-buy model.
We measure MES for each stock as the average stock returns on days when the equally-weighted market portfolio experiences a return in the 5 percent lower tail of its sampling distribution.
Beginning with descriptive statistics then moving to inferential statistics, they consider such topics as describing data with tables and graphs, regression, sampling distribution of the mean, analysis of variance, and chi-square test for qualitative (nominal) data.
To develop the properties of these tests we need to compute the sampling distribution of [bar.
Although we do not know exactly how large this error is for a particular sample, we can characterize the sampling errors of repeated samples through the sampling distribution of the statistic.
Intel showed a kiosk it designed for a major customer that can serve as both a vending machine and a sampling distribution point.
The values make up the so-called sampling distribution of the statistic.
For the parameter selected, identify its "best" estimator, the sampling distribution of the estimator, and the standard deviation of the estimator.

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