In probability theory and statistics, a probability distribution identifies either the probability of each value of a random variable (when the variable is discrete), or the probability of the value falling within a particular interval (when the variable is continuous). The probability distribution describes the range of possible values that a random variable can attain and the probability that the value of the random variable is within any (measurable) subset of that range.
More on the binomial distribution
Random variables. Expected value. Probability distributions (both discrete and continuous). Binomial distribution. Poisson processes.
Using Excel to visualize the basketball binomial distribution
Introduction to the binomial distribution
Basketball binomial distribution
Expected value of a binomial distributed random variable
Bibliography: Leaf 
Basic idea and definitions of random variables
Defining discrete and continuous random variables. Working through examples of both discrete and continuous random variables.
Probability density functions for continuous random variables.
Expected value of a random variable
Introduction to the law of large numbers
Description: Journal of Research of the National Institute of Standards and Technology
Supplemental catalog subcollection information: American Libraries Collection; American University Library Collection; Historical Literature; Bibliography: leaf 39
Bibliography: Leaf 20
Bibliography: l. 54
Description: Title page includes summary of the paper
Description: Includes bibliographical references (p. 21)