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Unit 4 – Probability, Random Variables, and Probability Distributions Notes 3 – Discrete and Continuous Random Variables Example: Suppose we toss a coin 3 times. The sample space for this chance process is: Total Number of Outcomes: Probability of any one outcome: Let X = Number of Heads out of 3 coin tosses Symbols Meaning Probability X = 0 X = 1 X = 2 X = 3 Probability Distribution - The probability our random variable takes the value X 1 2 3 P(X)

Unit 4 – Probability, Random Variables, and Probability Distributions Notes 3 – Discrete and Continuous Random Variables Example: Suppose we toss a coin 3 times. The sample space for this chance process is: Total Number of Outcomes: Probability of any one outcome: Let X = Number of Heads out of 3 coin tosses Symbols Meaning Probability X = 0 X = 1 X = 2 X = 3 Probability Distribution - The probability our random variable takes the value X 1 2 3 P(X)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Unit 4 – Probability, Random Variables, and Probability Distributions Notes 3 – Discrete and Continuous Random Variables Example: Suppose we toss a coin 3 times. The sample space for this chance process is: Total Number of Outcomes: Probability of any one outcome: Let X = Number of Heads out of 3 coin tosses Symbols Мeaning Probability X = 0 X = 1 X = 2 X = 3 Probability Distribution - The probability our random variable takes the value X 1 2 3 P(X)
Transcribed Image Text:Unit 4 – Probability, Random Variables, and Probability Distributions Notes 3 – Discrete and Continuous Random Variables Example: Suppose we toss a coin 3 times. The sample space for this chance process is: Total Number of Outcomes: Probability of any one outcome: Let X = Number of Heads out of 3 coin tosses Symbols Мeaning Probability X = 0 X = 1 X = 2 X = 3 Probability Distribution - The probability our random variable takes the value X 1 2 3 P(X)
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