Statistics 4.2 - 4-2 Random Variables Objectives Students will be able to Define Random Variable Probability Distribution Discrete or Continuous

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4-2 Random Variables Objectives : Students will be able to: Define Random Variable, Probability Distribution, Discrete or Continuous Random Variable; Calculate Mean, Variance, and Standard Deviation of Random Variables; Identify unusual results with the Range Rule of Thumb or Probabilities; and Calculate Expected Value of a Random Variable. Definitions A random variable is a variable (typically represented by x ) that has a single numerical value, determined by chance, for each outcome of a procedure. A probability distribution is a graph, table, or formula that gives the probability for each value of a random variable. Example See page 167. Definitions A discrete random variable has either a finite number of values or a countable number of values, where “countable” refers to the fact that there might be infinitely many values, but they can be associated with the counting process. A continuous random variable has infinitely many values, and those values can be associated with measurements on a continuous scale in such a way that there are no gaps or interruptions.
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This note was uploaded on 04/08/2008 for the course MAT 143 taught by Professor Stone during the Spring '07 term at North Shore Community College.

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Statistics 4.2 - 4-2 Random Variables Objectives Students will be able to Define Random Variable Probability Distribution Discrete or Continuous

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