The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life o

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The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life o

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The Quality Control Manager At A Compact Fluorescent Light Bulb Cfl Factory Needs To Determine Whether The Mean Life O 1
The Quality Control Manager At A Compact Fluorescent Light Bulb Cfl Factory Needs To Determine Whether The Mean Life O 1 (69.59 KiB) Viewed 45 times
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 7,489 hours. The population standard deviation is 840 hours. A random sample of 49 light bulbs indicates a sample mean life of 7,309 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,489 hours? b. Construct a 95% confidence interval estimate of the population mean life of the light bulbs. c. Compare the results of (a) and (c). What conclusions do you reach? C a. Let u be the population mean. Determine the null hypothesis, Ho, and the alternative hypothesis, H₁. Ho:ụ=| H₁: H What is the test statistic? ZSTAT = (Round to two decimal places as needed.) What is/are the critical value(s)? (Round to two decimal places as needed. Use comma to separate answers as needed.) What is the final conclusion? O A. Reject Ho. There is sufficient evidence to prove that the mean life is different from 7,489 hours. O B. Fail to reject Ho. There is sufficient evidence to prove that the mean life is different from 7,489 hours. OC. Fail to reject Ho. There is not sufficient evidence to prove that the mean life is different from 7,489 hours. O D. Reject Ho. There is not sufficient evidence to prove that the mean life is different from 7,489 hours.
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