only c d plz s at the 005 level of sign an life is different from 7516 hours b compute the p val

So the quality control manager wants to know whether the mean life of a large shipment of light

Good day, everyone. So here first is we need to determine if the mean life of the shipment of CP

For this problem, to begin, I'll note that there's a little bit of missing information from the

Alright, so in the given question we have been asked to conduct a hypothesis test, right. So her

Hello students! So here for our solution, first one, we have our answer that is our sample size

Question

a. At the 0.05 level of significance, is the mean life different from 7,516 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 can you reach? Hg = 7516 H 7516 What is the test statistic? ZSTAT = 1.5 (Round to two decimal places as needed.) What is/are the critical value(s)? 1.96, 1.96 (Round to two decimal places as needed. Use a comma to separate answers as needed.) What is the final conclusion? A. Reject Hg. There is not sufficient evidence to prove that the mean life is different from 7,516 hours. B. Reject Hg. There is sufficient evidence to prove that the mean life is different from 7,516 hours. C. Fail to reject Hg. There is sufficient evidence to prove that the mean life is different from 7,516 hours. D. Fail to reject Hg. There is not sufficient evidence to prove that the mean life is different from 7,516 hours. b. What is the p-value? 0.134 (Round to three decimal places as needed.) Interpret the meaning of the p-value. Choose the correct answer below: A. Reject Hg. There is sufficient evidence to prove that the mean life is different from 7,516 hours. B. Fail to reject Hg. There is sufficient evidence to prove that the mean life is different from 7,516 hours. C. Reject Hg. There is not sufficient evidence to prove that the mean life is different from 7,516 hours. D. Fail to reject Hg. There is not sufficient evidence to prove that the mean life is different from 7,516 hours. c. Construct a 95% confidence interval estimate of the population mean life of the light bulbs. (Round to one decimal place as needed.)

a. At the 0.05 level of significance, is the mean life different from 7,516 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 can you reach?

Hg = 7516 H 7516
What is the test statistic? ZSTAT = 1.5 (Round to two decimal places as needed.)
What is/are the critical value(s)? 1.96, 1.96 (Round to two decimal places as needed. Use a comma to separate answers as needed.)
What is the final conclusion?
A. Reject Hg. There is not sufficient evidence to prove that the mean life is different from 7,516 hours.
B. Reject Hg. There is sufficient evidence to prove that the mean life is different from 7,516 hours.
C. Fail to reject Hg. There is sufficient evidence to prove that the mean life is different from 7,516 hours.
D. Fail to reject Hg. There is not sufficient evidence to prove that the mean life is different from 7,516 hours.

b. What is the p-value?
0.134 (Round to three decimal places as needed.)
Interpret the meaning of the p-value. Choose the correct answer below:
A. Reject Hg. There is sufficient evidence to prove that the mean life is different from 7,516 hours.
B. Fail to reject Hg. There is sufficient evidence to prove that the mean life is different from 7,516 hours.
C. Reject Hg. There is not sufficient evidence to prove that the mean life is different from 7,516 hours.
D. Fail to reject Hg. There is not sufficient evidence to prove that the mean life is different from 7,516 hours.

c. Construct a 95% confidence interval estimate of the population mean life of the light bulbs.
(Round to one decimal place as needed.)