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What is sampling variability?
The mathematical definition of the sampling variance is average of squared difference between the estimator and its mean. The average is taken over all possible samples. Standard error is the standard deviation of a sampling distribution of any statistic.
The mostly used statistic for this purpose is mean. The coefficient of variation is formulated as ratio of standard deviation and mean. Our sampling variability Homework Help services discuss this in details.
How does it work?
Sampling variability can be obtained using –
- Sampling variance.
- Standard error.
- Coefficient of variation.
Use of sampling variability:
This estimate for sampling variability helps statisticians to judge how the sample varies with respect to mean of the population. Some samples having higher values might have higher standard deviation but coefficient of variation will compute proper variability after removing the effect of sampling from a particular section of the population.
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