Random Variables and Probability Distributions
VContentsPart IPROBABILITY1CHAPTER 1 Basic Probability3Random Experiments Sample Spaces Events The Concept of Probability The Axiomsof ProbabilitySome Important Theorems on ProbabilityAssignment of ProbabilitiesConditional ProbabilityTheorems on Conditional ProbabilityIndependent EventsBayes Theorem or Rule Combinatorial Analysis Fundamental Principle of Counting TreeDiagramsPermutationsCombinationsBino mial CoefficientsStirling s Approxima-tion to n!CHAPTER 2 Random Variables and Probability Distributions34Random Variables Discrete Probability Distributions distribution Functions for RandomVariables distribution Functions for Discrete Random Variables Continuous Random Vari-ablesGraphical InterpretationsJoint Distributions Independent Random VariablesChange of Variables Probability Distributions of Functions of Random Variables Convo-lutions Conditional Distributions Applications to Geometric ProbabilityCHAPTER 3 Mathematical Expectation75Definition of Mathematical Expectation Functions of Random Variables Some Theoremson Expectation The Variance and Standard Deviation Some Theorems on Variance Stan-dardized Random Variables Moments Moment
36 CHAPTER 2 Random Variables and Probability Distributions (b) The graph of F(x) is shown in Fig. 2-1. The following things about the above distribution function, which are true in general, should be noted. 1. The magnitudes of the jumps at 0, 1, 2 are which are precisely the probabilities in Table 2-2.
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