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Chapter 5 Discrete Probability Distributions

# Chapter 5 Discrete Probability Distributions - Chapter 5...

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Chapter 5 – Discrete Probability Distributions Random Variables - Random variables explain experimental outcomes using numerical values Discrete Random Variables - A discrete random variable is a random variable that can have either a finite or infinite number of values Continuous Random Variables - A continuous random variable is one that assumes a numerical value in an interval or collection of intervals Discrete Probability Distributions - A probability distribution for a random variable explains how probabilities are spread out over the values of the random variable - The probability distribution is defined by a probability function , f(x), which provides the probability for each value of the random variable - Using a random variable and its probability distribution, it is relatively easy to determine the probability of a variety of events - A discrete probability function requires that f(x) ≥ 0 and ∑f(x) = 1 - A discrete probability distribution given by a formula is the discrete uniform

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Chapter 5 Discrete Probability Distributions - Chapter 5...

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