The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean ife of a large shipment of CFLS is equal to 7,476.hours. The population standard deviation is 900 hours. A random sample of 81 light bulbs indicates a sample mean ife of 7,226 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,476 hours? b. Compute the p-value and interpret its meaning. c. Construct a 95% confidence interval estimate of the population mean life of the light bulbs. d. Compare the results of (a) and (c). What conclusions do you reach?

MATLAB: An Introduction with Applications
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The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a large shipment of
CFLS is equal to 7,476. hours. The population standard deviation is 900 hours. A random sample of 81 light bulbs indicates a sampie mean life of
7,226 hours.
a. At the 0.05 lovel of significance, is there evidence that the mean life is different from 7,476 hours?
Compute the p-value and interpret its meaning.
c. Construct a 95% confidence interval estimate of the population mean life of the light bulbs.
d. Compare the resuits of (a) and (c). What conclusions do you reach?
a. Let u be the population mean. Determine the null hypothesis, Ho, and the alternative hypothesis, H,
Transcribed Image Text:The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a large shipment of CFLS is equal to 7,476. hours. The population standard deviation is 900 hours. A random sample of 81 light bulbs indicates a sampie mean life of 7,226 hours. a. At the 0.05 lovel of significance, is there evidence that the mean life is different from 7,476 hours? Compute the p-value and interpret its meaning. c. Construct a 95% confidence interval estimate of the population mean life of the light bulbs. d. Compare the resuits of (a) and (c). What conclusions do you reach? a. Let u be the population mean. Determine the null hypothesis, Ho, and the alternative hypothesis, H,
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