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* Theory is developed to a practical degree around models used in real-world applications and roofs of theorems and ''tricky'' probability calculations are minimized..* Increased emphasis on practical aspects of probabilistic interpretation of data: behavior of relative frequencies; use of randomness in collecting data; two-way tables; conditional probability as a measure of association; odds, odds ratios, and relative risk; practical examples, especially from medical fields..* Expanded use of probability distributions in modeling reality: fitting distributions to data; quantile-quantile plots for assessing normality; reliability of systems; uses of Markov chains..* Sections on theoretical issues: coverage of correlation; general distribution of order statistics; moment-generating functions as a technique for finding distributions of functions of random variables..* More than 40 new exercises.
Table of Contents
Discrete Probability Distributions
Continuous Probability Distributions
Multivariate Probability Distributions
Functions of Random Variables
Some Approximations to Probability Distributions: Limit Theorems