Hypothesis Testing for the mean. Note: Be sure to include a verbal conclusion of your work. (Use the Z-test on the calculator) 4) A trucking firm suspects that the mean lifetime of a certain tire it uses is less than 34,000 miles. To check the claim, the firm randomly selects and tests 54 of these tires and gets a mean lifetime of 33,390 miles. Assume th epopulation standard deviation is 1200 miles. At a = 0.05, test the trucking firm's claim. 5) A manufacturer claims that the mean lifetime of its fluorescent bulbs is 1000 hours. A homeowner selects 40 bulbs and finds the mean lifetime to be 980 hours . Assume the population standard deviation is 80 hours. Test the manufacturer's claim. Use a 5% level of significance.

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Hypothesis Testing for the mean. Note: Be sure to include a
verbal conclusion of your work.
(Use the Z-test on the calculator)
4) A trucking firm suspects that the mean lifetime
of a certain tire it uses is less than 34,000 miles.
To check the claim, the firm randomly selects
and tests 54 of these tires and gets a mean
lifetime of 33,390 miles. Assume th epopulation
standard deviation is 1200 miles. At a = 0.05, test
the trucking firm's claim.
5) A manufacturer claims that the mean lifetime of
its fluorescent bulbs is 1000 hours. A
homeowner selects 40 bulbs and finds the mean
lifetime to be 980 hours . Assume the population
standard deviation is 80 hours. Test the
manufacturer's claim. Use a 5% level of
significance.
Transcribed Image Text:Hypothesis Testing for the mean. Note: Be sure to include a verbal conclusion of your work. (Use the Z-test on the calculator) 4) A trucking firm suspects that the mean lifetime of a certain tire it uses is less than 34,000 miles. To check the claim, the firm randomly selects and tests 54 of these tires and gets a mean lifetime of 33,390 miles. Assume th epopulation standard deviation is 1200 miles. At a = 0.05, test the trucking firm's claim. 5) A manufacturer claims that the mean lifetime of its fluorescent bulbs is 1000 hours. A homeowner selects 40 bulbs and finds the mean lifetime to be 980 hours . Assume the population standard deviation is 80 hours. Test the manufacturer's claim. Use a 5% level of significance.
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