The manufacturer of a particular brand of tires claims they average at least 50,000 miles before needing to be replaced. From past studies of this tire, it is known that the population standard deviation is 8,000 miles. A survey of tire owners was conducted. From the 21 tires surveyed, the mean lifespan was 42500 miles. Using alpha = 0.05, can we prove that the data in inconsistent with the manufacturers claim? We should use a test. What are the correct hypotheses? H0:H0: miles Ha:Ha: miles Based on the hypotheses, find the following: Test Statistic= p-value= The correct decision is to . The correct conclusion would be:
The manufacturer of a particular brand of tires claims they average at least 50,000 miles before needing to be replaced. From past studies of this tire, it is known that the population standard deviation is 8,000 miles. A survey of tire owners was conducted. From the 21 tires surveyed, the mean lifespan was 42500 miles. Using alpha = 0.05, can we prove that the data in inconsistent with the manufacturers claim? We should use a test. What are the correct hypotheses? H0:H0: miles Ha:Ha: miles Based on the hypotheses, find the following: Test Statistic= p-value= The correct decision is to . The correct conclusion would be:
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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The manufacturer of a particular brand of tires claims they average at least 50,000 miles before needing to be replaced. From past studies of this tire, it is known that the population standard deviation is 8,000 miles.
A survey of tire owners was conducted. From the 21 tires surveyed, the mean lifespan was 42500 miles. Using alpha = 0.05, can we prove that the data in inconsistent with the manufacturers claim?
We should use a test.
What are the correct hypotheses?
H0:H0: miles
Ha:Ha: miles
Based on the hypotheses, find the following:
Test Statistic=
p-value=
The correct decision is to .
The correct conclusion would be:
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