5. A tire company is testing a new rubber compound in its manufacturing process. They wish to determine if it has any effect on the lifetime of their tires. On average, their tires last for 5 years of normal use. Assume the standard deviation is 1.6 years. The company uses a diagnostic test on 8 tires with the new compound and finds that they have an average lifetime of 6 years. Is there significant evidence (at level α=0.05) that the new compound changes tire lifetime? a. Yes, the data is significant at this level at this level so we reject the null hypothesis. b. Yes, the data is significant at this level so we fail to reject the null hypothesis. c. No, the data is not significant at this level so we reject the null hypothesis. d. No, the data is not significant at this level so we fail to reject the null hypothesis.
5. A tire company is testing a new rubber compound in its manufacturing process. They wish to determine if it has any effect on the lifetime of their tires. On average, their tires last for 5 years of normal use. Assume the standard deviation is 1.6 years. The company uses a diagnostic test on 8 tires with the new compound and finds that they have an average lifetime of 6 years. Is there significant evidence (at level α=0.05) that the new compound changes tire lifetime?
a. Yes, the data is significant at this level at this level so we reject the null hypothesis.
b. Yes, the data is significant at this level so we fail to reject the null hypothesis.
c. No, the data is not significant at this level so we reject the null hypothesis.
d. No, the data is not significant at this level so we fail to reject the null hypothesis.
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