A sampling distribution describes the data chosen for a sample from among a larger population.

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.

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 ...

Raking For public opinion surveys, the most prevalent method for weighting is iterative proportional fitting, more commonly referred to as raking. With raking, a researcher chooses a set of variables ...

Sample distribution parameters are marked with a subscript of the associated sample variable (for example, μX̅ and σX̅ are the mean and s.d. of the sample means of all samples).

In life and fatique testing, multi-censored samples arise when at various stages of a test, some of the survivors are withdrawn from further observation. Sample specimens which remain after each stage ...