The quality control manager at a computer manufacturing company believes that the mean life of a computer is 83 months, with a standard deviation of 99 months.
If he is correct, what is the probability that the mean of a sample of 78 computers would be less than 82.06 months? Round your answer to four decimal places.
Solution :
Given that,
mean = = 83
standard deviation = = 99
n = 16
= 83
= ( /n) = (99 / 78 ) =11.2095
P ( < 82.06 )
P ( - /) < (82.06 - 83 / 11.2095)
P ( z < - 0.94 / 11.2095 )
P ( z < -0.08 )
Using z table
= 0.4681
Probability = 0.4681
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 120 months, with a standard deviation of 10 months. If he is correct, what is the probability that the mean of a sample of 90 computers would be less than 117.13 months? Round your answer to four decimal places.
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
The quality control manager at a computer manufacturing company believes that the mean life of a computer is 105 months, with a variance of 81 If he is correct, what is the probability that the mean of a sample of 70 computers would differ from the population mean by less than 1.9 months? Round your answer to four decimal places.
A quality control expert at Glotech computers wants to test their new monitors. The production manager claims they have a mean life of 75 months with a standard deviation of 5 months. If the claim is true, what is the probability that the mean monitor life would be less than 74.4 months in a sample of 85 monitors? Round your answer to four decimal places.
The operation manager at a tire manufacturing company believes that the mean mileage of a tire is 37,014 miles, with a standard deviation of of4617 miles. What is the probability that the sample mean would be less than 36,435 miles in a sample of 56 tires if the manager is correct? Round your answer to four decimal places.
A quality control expert at Glotech computers wants to test their new monitors. The production manager claims they have a mean life of 94 months with a standard deviation of 9 months. If the claim is true, what is the probability that the mean monitor life would be greater than 93.5 months in a sample of 111 monitors? Round your answer to four decimal places
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 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 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.
A quality control expert at Glotech computers wants to test their new monitors. The production manager claims they have a mean life of 85 months with a variance of 49. If the claim is true, what is the probability that the mean monitor life would be greater than 83.8 months in a sample of 121 monitors? Round your answer to four decimal places.