Math 135 Week 12 Lecture Notes Bittenger 10th

# Evaluate normal distribution probabilities using a

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Unformatted text preview: bility of each response time: a. Between 5 and 10 minutes b. Between 8 and 20 minutes c. Between 1 and 45 minutes d. More than 60 minutes Math 135 Class Notes – Week 12 Bittenger 10th Ed. 5 5.5 Probability: Expected Value; The Normal Distribution () OBJECTIVE: Find E ( x ) , E x 2 , then mean, the variance, and the standard deviation. Evaluate normal distribution probabilities using a table. Calculate percentiles for a normal distribution. Expected Value DEFINITION: Let x be a continuous random variable over the interval [ a, b ] with probability density function f. The expected value of x is defined by E ( x ) = ∫ x ⋅ f ( x ) dx . b a DEFINITION: The expected value of g ( x ) is defined by E ( g ( x )) = ∫ g ( x ) ⋅ f ( x ) dx b a where f is a probability density function for x. Example 1: Given the probability density function f ( x ) = 1 − 1 x , over [ 0, 4 ] , find 2 8 E ( x ) and E ( x 2 ) . Math 135 Class Notes – Week 12 Bittenger 10th Ed. 6 DEFINITION: The mean, µ , of a continuous random variable x, is defined to be E ( x ) . That is, µ = E ( x ) = ∫ xf ( x ) dx b a where f is a probability d...
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## This document was uploaded on 02/19/2014 for the course MATH 135 at CSU Chico.

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