A particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be replaced. From past studies of this tire, the standard deviation is known to be 8,000. A survey of owners of that tire design is conducted. Of the 28 tires surveyed, the mean lifespan was 45,900 miles with a standard deviation of 9,800 miles. Using alpha = 0.05, is the data highly consistent with the claim? Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.)
A particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be replaced. From past studies of this tire, the standard deviation is known to be 8,000. A survey of owners of that tire design is conducted. Of the 28 tires surveyed, the mean lifespan was 45,900 miles with a standard deviation of 9,800 miles. Using alpha = 0.05, is the data highly consistent with the claim? Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.)
MATLAB: An Introduction with Applications
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![A particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be replaced. From past
studies of this tire, the standard deviation is known to be 8,000. A survey of owners of that tire design is conducted. Of the 28
tires surveyed, the mean lifespan was 45,900 miles with a standard deviation of 9,800 miles. Using alpha = 0.05, is the data
highly consistent with the claim?
Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally
distributed. (In general, you must first prove that assumption, though.)
Part (a)
Part (b)
Part (c)
Part (d)
Part (e)
Part (f)
Part (g)
Part (h)
Indicate the correct decision ("reject" or "do not reject" the null hypothesis), the reason for it, and write an appropriate conclusion.
(i) Alpha (Enter an exact number as an integer, fraction, or decimal.)
α =
(ii) Decision:
O reject the null hypothesis
do not reject the null hypothesis
(iii) Reason for decision:
O Since a < p-value, we reject the null hypothesis.
Since a > p-value, we do not reject the null hypothesis.
Since a < p-value, we do not reject the null hypothesis.
Since a > p-value, we reject the null hypothesis.
(iv) Conclusion:
There is sufficient evidence to conclude that the average life span of the tires is less than 50,000.
O There is not sufficient evidence to conclude that the average life span of the tires is less than 50,000.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F39da723c-fb36-456e-846a-0c3126a67a31%2Fa24c860c-dfbe-451c-bbd1-39702701ee5c%2Ff4nx3ta_processed.png&w=3840&q=75)
Transcribed Image Text:A particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be replaced. From past
studies of this tire, the standard deviation is known to be 8,000. A survey of owners of that tire design is conducted. Of the 28
tires surveyed, the mean lifespan was 45,900 miles with a standard deviation of 9,800 miles. Using alpha = 0.05, is the data
highly consistent with the claim?
Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally
distributed. (In general, you must first prove that assumption, though.)
Part (a)
Part (b)
Part (c)
Part (d)
Part (e)
Part (f)
Part (g)
Part (h)
Indicate the correct decision ("reject" or "do not reject" the null hypothesis), the reason for it, and write an appropriate conclusion.
(i) Alpha (Enter an exact number as an integer, fraction, or decimal.)
α =
(ii) Decision:
O reject the null hypothesis
do not reject the null hypothesis
(iii) Reason for decision:
O Since a < p-value, we reject the null hypothesis.
Since a > p-value, we do not reject the null hypothesis.
Since a < p-value, we do not reject the null hypothesis.
Since a > p-value, we reject the null hypothesis.
(iv) Conclusion:
There is sufficient evidence to conclude that the average life span of the tires is less than 50,000.
O There is not sufficient evidence to conclude that the average life span of the tires is less than 50,000.
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