The quality control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether...
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 7,520 hours. The population standard deviation is 840 hours. A random sample of 49 light bulbs indicates a sample mean life of 7,340 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,520 hours? b. Compute the p-value and interpret its meaning. c. Construct...
I will be sure to rate well, Thanks! 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 7,498 hours. The population standard deviation is 700 hours. A random sample of 49 light bulbs indicates a sample mean life of 7,348 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,498 hourst b. Compute...
The quality control manager at a light bulb factory needs to determine whether the mean life of a large shipment of light bulbs is equal to 375.00 hours. The STDEV.P = 100.00 hours. A random sample of 64 light bulbs indicates a MEAN.S of 350.00 hours a) At the 0.05 level of significance, is there evidence that the mean life is different from 375.00 hours? (define the Ho and H1) (explain whether you will reject or not reject HO) (check...
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 743 hours. A random sample of 21 light bulbs has a mean life of 717 hours. Assume the population is normally distributed and the population standard deviation is 64 hours. At a = 0.05, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e) (a) Identify the null hypothesis and alternative hypothesis. O A. Ho: $717...
this problem requires PhStat solution. 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 7,500 hours. The population standard deviation is 1,000 hours. A random sample of 64 CFLs indicate a sample mean life of 7,250 hours. 1. At 0.05 level of significance, state your decision. 2. Using the critical value approach, is there evidence that the mean life is different from...
Confidence Interval The quality-control manager at a light bulb factory needs to determine whether the mean life of a large shipment of light bulbs is equal to 375 hours. The population standard deviation is 120 hours. A random sample of 64 light bulbs indicates a sample mean life of 350 hours. 1. At the 95% confidence level, what is the critical value? 39. What is the confidence interval based on this data? 2. Is there evidence that the mean life...
The quality control manager at a light bulb factory needs to estimate the mean life of a large shipment of light bulbs. The standard deviation is 92 hours. A random sample of 64 light bulbs indicated a sample mean life of 360 hours. Complete parts (a) through (d) below. that the lightbulbs have a mean life of 410 hours. c. Must you assume that the population light bulb life is normally distributed? Explain. O A. Yes, the sample size is...
A bottled water distributor wants to determine whether the mean amount of water contained in 1-gallon bottles purchased from a nationally known water bottling company is actually 1 gallon. You know from the water bottling company specifications that the standard deviation of the amount of water is 0.02 gallon. You select a random sample of 45 bottles, and the mean amount of water per 1-gallon bottle is 0.994 gallon. Complete parts (a) through (d) below. a. Is there evidence that...
The quality control manager at a light bulb factory needs to estimate the mean life of a large shipment of light bulbs. The standard deviation is 98 hours. A random sample of 49 light bulbs indicated a sample mean life of 300 hours. (a) Construct a 99% confidence interval estimate for the population mean life of light bulbs in this shipment. The 99% confidence interval estimate is from a lower limit of 263.9 hours to an upper limit of 336.1...
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 753 hours. A random sample of 20 light bulbs has a mean life of 732 hours. Assume the population is normally distributed and the population standard deviation is 61 hours. At a =0.02, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (o). (a) Identify the null hypothesis and alternative hypothesis. O A. Ho: < 732...