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 Annals of Applied Probability, Vol. 9, No. 4 (Nov., 1999), pp. 1202-1225 (24 pages) This paper analyzes the performance of importance sampling distributions for computing expectations with respect ...

When an experiment is reproduced we almost never obtain exactly the same results. Instead, repeated measurements span a range of values because of biological variability and precision limits of ...

Calculate descriptive statistics and create graphical representations using R software Solve problems and make decisions using probability distributions Explore the basics of sampling and sampling ...

The theory of acceptance sampling by variables based on non-normal populations has been recently developed in various directions, as seen in an interesting survey by Owen [9]. In the present paper we ...

J.B. Maverick is an active trader, commodity futures broker, and stock market analyst 17+ years of experience, in addition to 10+ years of experience as a finance writer and book editor. T-tests are ...