Introduction to Probability

This introductory probability textbook, freely available here in pdf format, emphasizes the use of computing to simulate experiments and make computations. A set of programs that go with the book and the answers to the odd-numbered problems are also available from this site. Chapter headings include: Discrete Probability, Continuous Probability Densities, Combinatorics, Conditional Probability, Distributions and Densities, Expected Value and Variance, Sums of Random Variables, Law of Large Numbers, Central Limit Theorem, Generating Functions, Markov Chains, and Random Walks.
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Author Name: 
J. Laurie Snell, Charles M. Grinstead
Technical Requirements: 
Adobe Acrobat Reader
Source Code Available: 
Source Code Not Available
Intended User Role: 
Learner, Teacher
Resource Type: 
Free for All
Math Level: 

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