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 470 hours. The population standard deviation is 840 hours. A random sample of 49 light bulbs indicates a sample mean life of 7,290 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,470 hours? p. 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? a. Let u be the population mean. Determine the null hypothesis, Ho, and the alternative hypothesis, H, . Ho: H= 7470 H: H# 7470 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? O A. Reject Ho. There is sufficient evidence to prove that the mean life is different from 7,470 hours. O B. Fail to reject Ho. There is sufficient evidence to prove that the mean life is different from 7,470 hours. O C. Fail to reject Ho. There is not sufficient evidence to prove that the mean life is different from 7,470 hours. Reject Ho. There is not sufficient evidence to prove that the mean life is different from 7,470 hours.

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 7520 hours. The population standard deviation is 980 hours. A random sample of 49 light bulbs indicates a sample mean life of 7,310 hours. a. At the 0.05 level of​ significance, is there evidence that the mean life is different from 7520 hours?   a. Let μ be the population mean. Determine the null​ hypothesis, H0​, and the alternative​ hypothesis, H1.   H0​: μ ▼   greater than or equals≥ not equals≠ equals= less than or equals≤ enter your response here H1​: μ ▼   less than< not equals≠ equals= greater than> enter your response here

A manufacturer is producing metal rods, whose lengths are normally distributed with a mean of 65.0 cm and a standard deviation of 0.3 cm. If 2000 metal rods are produced, how many will be between 64.5 cm and 65.3 cm in length? There will be rods between 64.5 cm and 65.3 cm in length.

The weight of potato chips in a large-size bag is stated to be 24 ounces. The amount that the packaging machine puts in these bags is believed to have a normal model with a mean of 24.2 ounces and a standard deviation of 0.12 ounces.