# Ch. 4.1 Probability Distribution Function PDF for a Discrete Random Variable.pdf

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Quiz 2: Due March 24Exam 2: April 5**Recall Discrete Variables-data that are the result of counting; where it can only take certain values (Likewhole numbers).Is a table or an equation that links each outcome of a statistical experiment with its probability ofoccurrence.Example: The table below shows each possible outcome with its probabilityProbability DistributionEach probability is between zero and one, inclusive1.The sum of the probabilities is one2.Discrete Probability Distribution Function has two characteristicsFor Example:Suppose the random variable X is defined as the number ofheads that result from two coin flips; then the table representsthe probability distribution of the random variable X.Outcomes
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JuanH.Hinojosa
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Unformatted text preview: For Example: Suppose the random variable X is defined as the number of heads that result from two coin flips; then the table represents the probability distribution of the random variable X. Outcomes HH, HT, TH, TT Ch. 4.1 Probability Distribution Function (PDF) for a Discrete Random Variable Lessons Page 1 Example 1: Example 2: Lessons Page 2 Example 3: X P(X) 1 2 3 X P(X) 1 2 Lessons Page 3...
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