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This book is designed for use as a supplement to all current standard texts or as a textbook for a formal course on  Probability  theory and applications. It should also be of considerable value to those taking courses in Mathematics, Statistics, Management, Engineering or any of the numerous other fields in which Probability concepts are employed. Salient Features Cover all important topics such as Set Theory, Conditional Probability and Independence, Random Variables, Important Discrete and Continuous Distributions, and Markov Chains. New Chapter on Moment Generating, Probability Generating and Characteristic Functions. Rich pedagogy includes: 174 examples 327 solved problems 294 supplementary problems