A dealer's profit, in units of $1000, on a new automobile is a random variable X having density function S (3.5 – 2)/6.125, if 0 < z < 3.5, l0, elsewhere. f(z) = a. Find the expectation and the variance of the dealer's profit. The expectation = |(dollars) The variance - (square dollars) b. What is the probability that the profit exceeds $1200?

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Chapter1: Combinatorial Analysis
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A dealer's profit, in units of $1000, on a new automobile is a random variable
X having density function
fle) = { (3.5 – z)/6.125, if 0 < z < 3.5,
0, elsewhere.
a. Find the expectation and the variance of the dealer's profit.
The expectation
(dollars)
The variance =
|(square dollars)
b. What is the probability that the profit exceeds $1200?
Answer:
Transcribed Image Text:A dealer's profit, in units of $1000, on a new automobile is a random variable X having density function fle) = { (3.5 – z)/6.125, if 0 < z < 3.5, 0, elsewhere. a. Find the expectation and the variance of the dealer's profit. The expectation (dollars) The variance = |(square dollars) b. What is the probability that the profit exceeds $1200? Answer:
c. Select 81 new automobiles randomly and independently. Find the
probability that the average profit of the dealer on these automobiles
will be less than $1030.
Answer:
Transcribed Image Text:c. Select 81 new automobiles randomly and independently. Find the probability that the average profit of the dealer on these automobiles will be less than $1030. Answer:
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