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 3113.84 kilometers. Can you conclude, using a = 0.05, that the standard deviation of tire life is less than 4000 kilometers? There v 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 0.001 < P-value < 0.005 O 0.01 < P-value < 0.05 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?
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 3113.84 kilometers. Can you conclude, using a = 0.05, that the standard deviation of tire life is less than 4000 kilometers? There v 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 0.001 < P-value < 0.005 O 0.01 < P-value < 0.05 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?
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 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 3,113.84 kilometers.
**Can you conclude, using \( \alpha = 0.05 \), that the standard deviation of tire life is less than 4000 kilometers?**
There [dropdown] sufficient evidence to indicate the true standard deviation of tire life is less than 4000 km at \( \alpha = 0.05 \).
**State bounds for the P-value of this test.**
- ○ 0.001 < P-value < 0.005
- ○ 0.01 < P-value < 0.05
- ○ 0.7 < P-value < 0.9
- ○ 0.1 < P-value < 0.5
**Do we assume that the data come from a population with a normal distribution?** [dropdown]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F453530fe-df7b-40e0-87f7-364c227f8f51%2Fb3be4a5f-a7ce-4057-92d5-d8d6d8d46926%2Fj9pg9z_processed.png&w=3840&q=75)
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 3,113.84 kilometers.
**Can you conclude, using \( \alpha = 0.05 \), that the standard deviation of tire life is less than 4000 kilometers?**
There [dropdown] sufficient evidence to indicate the true standard deviation of tire life is less than 4000 km at \( \alpha = 0.05 \).
**State bounds for the P-value of this test.**
- ○ 0.001 < P-value < 0.005
- ○ 0.01 < P-value < 0.05
- ○ 0.7 < P-value < 0.9
- ○ 0.1 < P-value < 0.5
**Do we assume that the data come from a population with a normal distribution?** [dropdown]
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