The total time, measured in units of 100 hours, that a teenager runs her hair dryer over a period of one year is a continuous random variable X that has the density function below. Use the theorem below to evaluate the mean of the random variable Y = 69X² +43X, where Y is equal to the number of kilowatt hours expended annually. Theorem: The expected value of the sum or difference of two or more functions of a random variable X is the sum or difference of the expected values of the functions, as given by the formula below. E[g(X,Y) ±h(X,Y)] = E[g(X,Y)] ± E[h(X,Y)] f(x) = X, 4 1 9 Ō 0

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The total time, measured in units of 100 hours, that a teenager runs her hair dryer over
a period of one year is a continuous random variable X that has the density function
below. Use the theorem below to evaluate the mean of the random variable
Y = 69X² + 43X, where Y is equal to the number of kilowatt hours expended annually.
Theorem: The expected value of the sum or
difference of two or more functions of a random
variable X is the sum or difference of the
expected values of the functions, as given by the
formula below.
E[g(X,Y) ±h(X,Y)] = E[g(X,Y)] ± E[h(X,Y)]
f(x)
=
X,
4
9
0<x< 1
1
-x 1<x<4
9
elsewhere
Transcribed Image Text:The total time, measured in units of 100 hours, that a teenager runs her hair dryer over a period of one year is a continuous random variable X that has the density function below. Use the theorem below to evaluate the mean of the random variable Y = 69X² + 43X, where Y is equal to the number of kilowatt hours expended annually. Theorem: The expected value of the sum or difference of two or more functions of a random variable X is the sum or difference of the expected values of the functions, as given by the formula below. E[g(X,Y) ±h(X,Y)] = E[g(X,Y)] ± E[h(X,Y)] f(x) = X, 4 9 0<x< 1 1 -x 1<x<4 9 elsewhere
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