A manufacturer claims that the life span of its tires is
48,000
miles. You work for a consumer protection agency and you are testing these tires. Assume the life spans of the tires are normally distributed. You select
one hundred
tires at random and test them. The mean life span is
47,858
miles. Assume
sigmaσequals=900
Complete parts (a) through (c).
(a) Assuming the manufacturer's claim is correct, what is the probability that the mean of the sample is
47,858
miles or less?
0.0573 is what I got which was correct.
b) using your answer from part (a), what do you think of the manufacutrer's claim?
The claim is
inaccurate/accurate?
because the sample mean
would/would not?
be considered unusual since it
does not lie/lies?
within the range of a usual event, namely within
1 standard deviation/2 standard deviations/3 standard deviations
of the mean of the sample means.
(c) Assuming the manufacturer's claim is true, would it be unusual to have an individual tire with a life span of
47,858
miles? Why or why not?
(1)_____, because 47,858 (2) ________ within the range of a usual event, namely within (3)______ of the mean for an individual tire.
(1) no/yes
(2) does not lie/lies
(3) 1 standard deviation/2 standard deviations/3 standard deviations
#31
(a)
μ = 48000, x-bar = 47858, n = 100, σ = 900
z = (x-bar - μ)/(σ/√n) = (47858 - 48000)/(900/√100) = -1.5778
P(x-bar < 47858) = P(z < -1.5778) = 0.0573
(b)
Would not be considered unusual since it lies within the range of a usual event, namely within 2 standard deviations of the mean of the sample means.
(c)
z = (x - μ)/σ = (47858 - 48000)/900 = -0.1578
P(x < 47858) = P(z < -0.1578) = 0.4373
No, because 47,858 lies within the range of a usual event, namely within 2 standard deviations of the mean for an individual tire.
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