In statistical analysis, a sampling distribution examines the range of differences in results obtained from studying multiple samples from a larger population.

The spread or standard deviation of this sampling distribution would capture the sample-to-sample variability of your estimate of the population mean. It would thus be a measure of the amount of ...

The sampling distribution of the sample means estimator is shown in red (this particular estimator is known to be normal with σ = 1/√ n for sample size n).

Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

The exact distribution of the sample effect size is derived for the case in which only studies yielding statistically significant results may be observed. The maximum likelihood estimator of effect ...

(5) The overall spatial distribution of spider mites is predicted from an observed proportion of empty sampling units. This presupposes, however, that the negative binomial is a general model of the ...

A probability distribution, usually displayed graphically, shows the relative likelihood of all possible outcomes occurring within a specific time period.