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 7,534 hours. The population standard deviation is 92 hours. A random sample of 64 light bulbs indicates a sample mean life of 7,511 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,534 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
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 7,534 hours. The population standard deviation is 92 hours. A random sample of 64 light bulbs indicates a sample mean life of 7,511 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,534 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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 7,534 hours. The population standard deviation is
92 hours. A random sample of 64 light bulbs indicates a sample mean life of 7,511 hours.
a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,534 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?
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