The quality control manager at a computer manufacturing company believes that the mean life of a...
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The solution above is not complete. The complete soltion is to consider both side of (-1.77 and +1.77) if you really read the question it says the probability differ from the mean and mean has two sides.
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The quality control manager at a computer manufacturing company believes that the mean life of a...
The quality control manager at a computer manufacturing company believes that the mean life of a...
The quality control manager at a computer manufacturing company believes that the mean life of a computer is 117 months with a standard deviation of eight months if he is correct what is the probability that the mean of a sample of 52 computers would be less than 115. 46 months round your answer to four decimal places
A quality control expert at Glotech computers wants to test their new monitors. The production manager...
A quality control expert at Glotech computers wants to test their new monitors. The production manager claims they have a mean life of 8383 months with a variance of 100100. If the claim is true, what is the probability that the mean monitor life would differ from the population mean by less than 1.71.7 months in a sample of 8989 monitors? Round your answer to four decimal places.
The operation manager at a tire manufacturing company believes that the mean mileage of a tire...
The operation manager at a tire manufacturing company believes that the mean mileage of a tire is 49,36049,360 miles, with a variance of 6,568,9696,568,969. What is the probability that the sample mean would differ from the population mean by less than 231231 miles in a sample of 247247 tires if the manager is correct? Round your answer to four decimal places. CAN YOU PLEASE SHOW ME HOW TO DO THIS IN CALCULATOR TI-83 PLUS SPECFICALLY
the operation manager at the tire manufacturing company believes that the mean mileage of a tire...
the operation manager at the tire manufacturing company believes that the mean mileage of a tire is 47,225 miles, with a standard deviation of 3178. what is the probability that the sample mean would be less than 47,050 miles in a sample of 208 tires if the manager is correct? ( round your answer 4 decimal places and show work)
A quality control expert at LIFE batteries wants to test their new batteries. The design engineer claims they have a variance of 6724 with a mean life of 645 minutes. If the claim is true, in a sample...
A quality control expert at LIFE batteries wants to test their new batteries. The design engineer claims they have a variance of 6724 with a mean life of 645 minutes. If the claim is true, in a sample of 152 batteries, what is the probability that the mean battery life would differ from the population mean by more than 8 minutes? Round your answer to four decimal places.
A quality control expert at LIFE batteries wants to test their new batteries. The design engineer...
A quality control expert at LIFE batteries wants to test their new batteries. The design engineer claims they have a variance of 5929 with a mean life of 941 minutes. If the claim is true, in a sample of 109 batteries, what is the probability that the mean battery life would be greater than 948.8 minutes? Round your answer to four decimal places.
The quality-control manager at a light bulb factory needs to determine wheter the mean life of a...
The quality-control manager at a light bulb factory needs to determine wheter the mean life of a population of light bulbs is equal to 375 hours. A random sample of 64light bulbs indicates a sample mean of 350 hours and a standard deviation of 100 hours. At a 5% level of significance, is there evidence to conclude that the mean lifeis different from 375 hours?
UNILCI Gun) Bob the Wine Quality Control Engineer wishes to determine the population mean potassium bitartrate...
UNILCI Gun) Bob the Wine Quality Control Engineer wishes to determine the population mean potassium bitartrate concentration in wine produced at Tallula's Fine Liquors. Bob studies a sample consisting of 81 wine bottles. He finds the sample mean potassium bitartrate concentration is 0.800 g/L with a sample standard deviation of 0.110 g/L. Construct a 90% two-sided confidence interval on the population mean potassium bitartrate concentration. Give your answer to four decimal places. Show your work.
The quality control manager at a light bulb factory needs to determine whether the mean life...
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 quality control computer engineer would like to determine if a new manufacturing process will significantly...
A quality control computer engineer would like to determine if a new manufacturing process will significantly reduce the proportion of defective computer chips. In a random sample of 398 computer chips manufactured using the present process, 44 were defective, while in a random sample of 417 computer chips manufactured using the new process, 29 were defective. Based upon the sample data, can the quality control engineer state the new manufacturing process is significantly better at \alpha = 5\%? Let population...
UNILCI Gun) Bob the Wine Quality Control Engineer wishes to determine the population mean potassium bitartrate concentration in wine produced at Tallula's Fine Liquors. Bob studies a sample consisting of 81 wine bottles. He finds the sample mean potassium bitartrate concentration is 0.800 g/L with a sample standard deviation of 0.110 g/L. Construct a 90% two-sided confidence interval on the population mean potassium bitartrate concentration. Give your answer to four decimal places. Show your work.
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...
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