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Random Variables

Random Variables. A random variable, usually written X, is a variable whose possible values are numerical outcomes of a random phenomenon. Random Variables. example. Flip a coin three times; X = the total number of heads.The values of X are. X= 0, 1, 2, 3.

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Random Variables

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  1. Random Variables

  2. A random variable, usually written X, is a variable whose possible values are numerical outcomes of a random phenomenon Random Variables example Flip a coin three times; X = the total number of heads.The values of X are . X= 0, 1, 2, 3 Throw two dice; X = the sum of the numbers facing up.The values of X are . X= 2, 3, 4, …, 12 Throw one die over and over until you get a six; X = the number of throws.The values of X are . X=1, 2, 3, 4, ...

  3. Discrete random variables are ones that have a finite or countable number of possible outcomes (like number of heads when flipping several coins). Continuous random variables are ones that have an infinite or uncountable number of possible outcomes (like your exact speed on the highway, or how far someone jumps) Types of Random Variables

  4. Probability with discrete variables Throw a pair of fair dice, and take X to be the sum of the numbers facing up. X= 2, 3, 4, … ,12 • The event that X = 2 is {(1, 1)}     The event that you throw a 2 • The event that X = 3 is {(2, 1), (1, 2)}   The event that you throw a 3 • The event that X = 4 is {(3, 1), (2, 2), (1, 3)}   The event that you throw a 4 • P(X = 4) = 1/12 • The probability that X = 4 is 1/12

  5. practice Problem 2:Tossing a coin 4 times. Find the discrete probability of the following: let X= number of heads Throw a pair of fair dice, and take X to be the sum of the numbers facing up. X= 2, 3, 4, … ,12 P(X=0) = P(X=1) = P(X=2) = P(X=3) = P(X=4) = 1/16 4/16 6/16 4/16 1/16 P(X=1) = P(X=2) = P(X=3) = P(X=4) = P(X=5) = 0 1/36 2/36 3/36 4/36

  6. What is: P(X ≤ 2) Problem 2:Tossing a coin 4 times. Find the probability of the following:Where: X= number of heads = P(x=0) + P(x=1) + P(x=2) = 1/16 + 4/16 + 6/16 = 11/16 Or 0.6875

  7. Education Level: A study of education followed a large group of fifth-grade children to see how many years of school they eventually completed. Let X be the highest year of school that a randomly chosen 5th graders completes A. Is this a “legit” continuous probability distribution? Yes, because the probabilities add up to 1 B. What is the percent of 5th graders eventually finished 12th grade? There are 75.2% 5th graders eventually finished 12th grade. C. Find P(X≥6) 0.983 C. Find P(X>6) 0.931

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