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CONDITIONAL PROBABILITY AND INDEPENDENCE, 4.4 Expectation of a Function of a Random Variable, 4.6 The Bernoulli and Binomial Random Variables, 4.8 Other Discrete Probability Distributions, 4.9 Expected Value of Sums of Random Variables, 4.10 Properties of the Cumulative Distribution Function, 5.2 Expectation and Variance of Continuous Random Variables, 5.7 The Distribution of a Function of a Random Variable, 6.4 Conditional Distributions: Discrete Case, 6.5 Conditional Distributions: Continuous Case, 6.7 Joint Probability Distribution of Functions of Random Variables, 7.2 Expectation of Sums of Random Variables, 7.3 Moments of the Number of Events that Occur, 7.4 Covariance, Variance of Sums, and Correlations, 7.6 Conditional Expectation and Prediction, 7.8 Additional Properties of Normal Random Variables, 8.2 Chebyshev’s Inequality and the Weak Law of Large Numbers, 8.5 Other Inequalities and a Poisson Limit Result, 8.6 Bounding the Error Probability When Approximating a Sum of Independent Bernoulli Random Variables by a Poisson Random Variable, 10.2 General Techniques for Simulating Continuous Random Variables, 10.3 Simulating from Discrete Distributions, Solutions to Self-Test Problems and Exercises. 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