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.

Uses of the sampling distribution: Since we often want to draw conclusions about something in a population based on only one sample, understanding how our sample statistics vary from sample to sample, ...

Here are four programs that demonstrate sampling distributions. For each one, a "population" of 20,000 elements is established. The user selects a sample size and random samples are drawn from the ...

This paper presents the results of a limited investigation which brings into focus the difficulties encountered in developing exact distribution-free methods for stratified simple random sampling. It ...

Joseph N. Ladalla, A Closed Form Approximation to the Posterior Distribution When Sampling from Multiparameter Exponential Family Models, Sankhyā: The Indian Journal of Statistics, Series A (1961-2002 ...

A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui ...