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 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 ...

Sampling error, however, is oversimplified when presented as a single number in reports that may include subgroups, poll-to-poll changes, lopsided margins and results measured on the difference.

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

Michael E. Tarter, Mean Integrated Squared Error Sampling, Journal of the American Statistical Association, Vol. 81, No. 393 (Mar., 1986), pp. 234-242 ...

Estimates of Mean Population Denisty and Spatial Distribution of Tetranychus urticae (Acarina: Tetranychidae) and Phytoseiulus persmilis (Acarina: Phytoseiidae) Based Upon the Proportion of Empty ...