A research engineer for a tire manufacturer is investigating tire life for a new rubber compound and has built 16 tires and tested them to end-of-life in a road test. The sample mean and standard deviation are 60,139.7 and 3843.61 kilometers. Can you conclude, using a = 0.05, that the standard deviation of tire life is less than 4000 kilometers? There sufficient evidence to indicate the true standard deviation of tire life is less than 4000 km at a = 0.05. State bounds for the P-value of this test. O 0.01 < P-value < 0.05 O 0.001 < P-value < 0.005 O 0.7 < P-value < 0.9 O 0.1 < P-value < 0.5 Do we assume that the data come from a population with a normal distribution? Statistical Tables and Charts
A research engineer for a tire manufacturer is investigating tire life for a new rubber compound and has built 16 tires and tested them to end-of-life in a road test. The sample mean and standard deviation are 60,139.7 and 3843.61 kilometers. Can you conclude, using a = 0.05, that the standard deviation of tire life is less than 4000 kilometers? There sufficient evidence to indicate the true standard deviation of tire life is less than 4000 km at a = 0.05. State bounds for the P-value of this test. O 0.01 < P-value < 0.05 O 0.001 < P-value < 0.005 O 0.7 < P-value < 0.9 O 0.1 < P-value < 0.5 Do we assume that the data come from a population with a normal distribution? Statistical Tables and Charts
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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Transcribed Image Text:A research engineer for a tire manufacturer is investigating tire life for a new rubber compound and has built 16 tires and tested them
to end-of-life in a road test. The sample mean and standard deviation are 60,139.7 and 3843.61 kilometers.
Can you conclude, using a = 0.05, that the standard deviation of tire life is less than 4000 kilometers?
There
sufficient evidence to indicate the true standard deviation of tire life is less than 4000 km at a = 0.05.
State bounds for the P-value of this test.
O 0.01 < P-value < 0.05
O 0.001 < P-value < 0.005
O 0.7 < P-value < 0.9
O 0.1 < P-value < 0.5
Do we assume that the data come from a population with a normal distribution?
Statistical Tables and Charts
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