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Lecture 9

# Lecture 9 - 1 PROBABILITY DISTRIBUTIONS RANDOM VARIABLES...

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PROBABILITY DISTRIBUTIONS RANDOM VARIABLES Random Variable: A variable whose numerical value is associated with outcomes in the sample space. Example: Toss two coins. Let the random variable X be the number of tails. S = { } Possible values of X: 1

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Types of Random Variables: Discrete – countable; whole numbers The number of students in line to buy football tickets. The number of Fridays in a month. Scores for a baseball game. Continuous – not countable; can include fractions/decimals The length of time a student stands in line to buy football tickets. The number of minutes until Friday. Scores for a gymnastics competition. 2
PROBABILITY DISTRIBUTIONS Probability Distribution of a Discrete Random Variable: The probability distribution is a listing of each potential value of the random variable along with its probability. The probability distribution can be represented by a chart (or table), a graph or a formula. Used to represent a population.

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Lecture 9 - 1 PROBABILITY DISTRIBUTIONS RANDOM VARIABLES...

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