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Published byClyde Justin Stone Modified over 9 years ago
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Probability Distributions
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A sample space is the set of all possible outcomes in a distribution. Distributions can be discrete or continuous.
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The value of a random variable is the numerical outcome of a random event. Discrete random variables represent countable values. Continuous random variable can take on any value.
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Ex. 1 Identify the random variable in each distribution, and classify it as discrete or continuous. a.The number of songs found on a random selection of mp3 players b.the weights of football helmets sent by a manufacturer
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A probability distribution for a particular random variable is a function that maps the sample space to the probabilities of the outcomes in the sample space. – Can be represented by tables, equations, or graphs. – Can be theoretical or experimental
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Law of Large Numbers states that the variation in a data set decreases as the sample size increases.
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