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 ...

When the program is instructed to draw a large number of samples, you can see the development of the beginnings of a sampling distribution. There are programs for sampling distributions of sample ...

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be chosen.

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.

A representative sample is used in statistical analysis and is a subset of a population that reflects the characteristics of the entire population.

For example, if our source sample is drawn from a bimodal distribution instead of a negative binomial, the parametric bootstrap generates an inaccurate sampling distribution because it is limited ...

This paper deals with the problem of making inferences about the mean of an exponential distribution when the sample is "time-censored". The exact sampling distribution of the maximum likelihood ...