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Interactive learning materials and instructional modules demonstrating hands-on use of probability distributi

This is an interactive graphical representation of the universe of probability distributions.

Hands-on probability distribution game – players are asked to match a set of common problems, case-stud

Normal approximation to the Negative Binomial is valid when the number of required successes, $s$, is large, and the probability of success, $p$, is neither very small nor very large.
This chapter of the Probability and Statistics EBook contains the basic properties of the Gamma Distribution, explains the basis for the Normal approximation to Gamma and shows examples.
A complete description of the Gamma distribution, its properties and applications (including examples and Normal approximation).
Java Applet demonstrates the Normal approximation to Binomial distribution.
This page includes the theory and applications of Negative Binomial Distribution, and the conditions for validity of Normal approximation to Negative Binomial.
Normal Approximation to Poisson is justified by the Central Limit Theorem.
This is a chapter of the Probability and Statistics EBook describing the theory and applications of Normal Approximation to Poisson distribution.