A manufacturer of automobile batteries claims that the distribution of the lengths of life of its best battery has a mean of 54 months and a standard deviation of 6 months. The shape of the population distribution is unknown. A consumer group decides to check the claim (u = 54 months) by purchasing a sample of 50 of these batteries and subjecting them to tests that determine battery life. %3D a) What is the shape of the sampling distribution of the mean? Explain. b) What is the mean of the sampling distribution (centre)? c) Calculate the standard error of the mean for the sampling distribution (spread). d) Assuming that the manufacturer's claim is true, what is the probability the consumer group's sample has a mean life of 52 or fewer months?

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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A manufacturer of automobile batteries claims that the distribution of the lengths of life of its
best battery has a mean of 54 months and a standard deviation of 6 months. The shape of the
population distribution is unknown.
A consumer group decides to check the claim (u = 54 months) by purchasing a sample of 50 of
%3D
these batteries and subjecting them to tests that determine battery life.
a)
What is the shape of the sampling distribution of the mean? Explain.
b)
What is the mean of the sampling distribution (centre)?
c)
Calculate the standard error of the mean for the sampling distribution (spread).
d)
Assuming that the manufacturer's claim is true, what is the probability the consumer
group's sample has a mean life of 52 or fewer months?
Transcribed Image Text:A manufacturer of automobile batteries claims that the distribution of the lengths of life of its best battery has a mean of 54 months and a standard deviation of 6 months. The shape of the population distribution is unknown. A consumer group decides to check the claim (u = 54 months) by purchasing a sample of 50 of %3D these batteries and subjecting them to tests that determine battery life. a) What is the shape of the sampling distribution of the mean? Explain. b) What is the mean of the sampling distribution (centre)? c) Calculate the standard error of the mean for the sampling distribution (spread). d) Assuming that the manufacturer's claim is true, what is the probability the consumer group's sample has a mean life of 52 or fewer months?
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