A tire manufacturer warranties its tires to last at least 20195 miles or “you get a new set of tires.” In its experience, a set of these tires lasts on average 26195 miles with standard deviation 5130 miles. Assume that the wear is normally distributed. The manufacturer profits Rs. 200 on each set sold, and replacing a set costs the manufacturer Rs. 400. a) What is the probability that a set of tires wears out before 20195 miles? b) What is the probability that a set of tires wears out before 24195 miles and after 20195 miles? c) What is the cutoff value in terms of miles of the top 65% wearing out tires?
A tire manufacturer warranties its tires to last at least 20195 miles or “you get a new set of tires.” In its experience, a set of these tires lasts on average 26195 miles with standard deviation 5130 miles. Assume that the wear is normally distributed. The manufacturer profits Rs. 200 on each set sold, and replacing a set costs the manufacturer Rs. 400. a) What is the probability that a set of tires wears out before 20195 miles? b) What is the probability that a set of tires wears out before 24195 miles and after 20195 miles? c) What is the cutoff value in terms of miles of the top 65% wearing out tires?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A tire manufacturer warranties its tires to last at least 20195 miles or “you get a new set of tires.” In its experience, a set of these tires lasts on average 26195 miles with standard deviation 5130 miles. Assume that the wear is
a) What is the
b) What is the probability that a set of tires wears out before 24195 miles and after 20195 miles?
c) What is the cutoff value in terms of miles of the top 65% wearing out tires?
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