Question 3. A tire manufacturer warranties its tires to last at least 20,000 miles or “you get a new set of tires.” In its experience, a set of these tires lasts on average 26,000 miles with a standard deviation of 5,000 miles. Assume that the wear is normally distributed. The manufacturer profits $200 on each set sold, and replacing a set costs the manufacturer $400.
(a) What is the probability that a set of tires wears out before 20,000 miles?
(b) What is the probability that the manufacturer turns a profit on selling a set to one customer?
(c) If the manufacturer sells 500 sets of tires, what is the probability that it earns a profit after paying for any replacements? Assume that the purchases are made around the country and that the drivers experience independent amounts of wear.
Let "X=" the tire life in miles: "X\\sim N(\\mu, \\sigma^2)"
Given μ = 26000 miles, σ = 5000 miles
(a)
"P(X<20000)=P(Z<\\dfrac{20000-26000}{5000})""=P(Z<-1.2)\\approx 0.11507"
The probability that a set of tires wears out before 20,000 miles is "0.11507."
(b)
"\\approx1-0.11507=0.88493"
The probability that the manufacturer turns a profit on selling a set to one customer is "0.88493."
(c) "X\\sim N(\\mu,\\sigma^2\/n)"
"=1-P(Z<\\dfrac{20000-26000}{5000\/\\sqrt{500}})"
"\\approx 1-P(Z<-26.8328)\\approx1-0=1"
The probability that it earns a profit after paying for any replacements is 1.
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