Suppose a batch of metal shafts produced in a manufacturing company have a variance of 99...
Suppose a batch of metal shafts produced in a manufacturing company have a variance of 99 and a mean diameter of 207207 inches.
If 7272 shafts are sampled at random from the batch, what is the probability that the mean diameter of the sample shafts would differ from the population mean by less than 0.30.3 inches? Round your answer to four decimal places.
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Suppose a batch of metal shafts produced in a manufacturing
company have a variance of 99...
Correct Suppose a batch of metal shafts produced in a manufacturing company have a standard deviation...
Correct Suppose a batch of metal shafts produced in a manufacturing company have a standard deviation of 1.4 and a mean diameter of 212 inches in r 80 shafts are sampled at random from the batch, what is the probability that the mean diameter of the sample shafts would differ from the population mean by greater than 0.1 inches? Round your answer to four decimal places How to enter your answer
Suppose a batch of metal shafts produced in a manufacturing company have a standard deviation of...
Suppose a batch of metal shafts produced in a manufacturing company have a standard deviation of 1.3 and a mean diameter of 202 inches. If 70 shafts are sampled at random from the batch, what is the probability that the mean diameter of the sample shafts would be less than 201.9 inches? Round your answer to four decimal places.
Suppose a batch of metal shafts produced in a manufacturing company have a standard deviation of...
Suppose a batch of metal shafts produced in a manufacturing company have a standard deviation of 1.3 and a mean diameter of 202 inches. If 70 shafts are sampled at random from the batch, what is the probability that the mean diameter of the sample shafts would be less than 201.9 inches? Round your answer to four decimal places.
Suppose a batch of steel rods produced at a steel plant have a mean length of...
Suppose a batch of steel rods produced at a steel plant have a mean length of 170 millimeters, and a standard deviation of 10 millimeters. If 299 rods are sampled at random from the batch, what is the probability that the mean length of the sample rods would differ from the population mean by less than 0.7 millimeters? Round your answer to four decimal places.
Suppose cattle in a large herd have a mean weight of 1217lbs and a variance of...
Suppose cattle in a large herd have a mean weight of 1217lbs and a variance of 10,404. What is the probability that the mean weight of the sample of cows would differ from the population mean by less than 11lbs if 116 cows are sampled at random from the herd? Round your answer to four decimal place.
Suppose the horses in a large stable have a mean weight of 873lbs, and a variance...
Suppose the horses in a large stable have a mean weight of 873lbs, and a variance of 17,161. What is the probability that the mean weight of the sample of horses would differ from the population mean by greater than 15lbs if 50 horses are sampled at random from the stable? Round your answer to four decimal places
Suppose the horses in a large stable have a mean weight of 807lbs, and a variance...
Suppose the horses in a large stable have a mean weight of 807lbs, and a variance of 5776. What is the probability that the mean weight of the sample of horses would differ from the population mean by greater than 18lbs if 41 horses are sampled at random from the stable? Round your answer to four decimal places.
1) Suppose cattle in a large herd have a mean weight of 1169lbs and a variance...
1) Suppose cattle in a large herd have a mean weight of 1169lbs and a variance of 17,161. What is the probability that the mean weight of the sample of cows would differ from the population mean by greater than 12lbs if 145 cows are sampled at random from the herd? Round your answer to four decimal places. 2) The mean lifetime of a tire is 36 months with a variance of 49. If 126 tires are sampled, what is...
5. The diameters of steel shafts produced by a certain manufacturing process should have a mean...
5. The diameters of steel shafts produced by a certain manufacturing process should have a mean diameter of 0.255 inches. The diameter is known to have a standard deviation of σ= 0.0001 inch. A random sample of 10 shafts has an average diameter of 0.2545 inches. (a) Set up the appropriate hypotheses on the mean μ (b) Test these hypotheses using α: 0.05, what are your conclusions? (c) Find the P-value for this test. P 2.6547x1055
Suppose babies born in a large hospital have a mean weight of 3366 grams, and a...
Suppose babies born in a large hospital have a mean weight of 3366 grams, and a variance of 244,036. If 118 babies are sampled at random from the hospital, what is the probability that the mean weight of the sample babies would differ from the population mean by more than 45 grams? Round your answer to four decimal places.
Correct Suppose a batch of metal shafts produced in a manufacturing company have a standard deviation of 1.4 and a mean diameter of 212 inches in r 80 shafts are sampled at random from the batch, what is the probability that the mean diameter of the sample shafts would differ from the population mean by greater than 0.1 inches? Round your answer to four decimal places How to enter your answer
5. The diameters of steel shafts produced by a certain manufacturing process should have a mean diameter of 0.255 inches. The diameter is known to have a standard deviation of σ= 0.0001 inch. A random sample of 10 shafts has an average diameter of 0.2545 inches. (a) Set up the appropriate hypotheses on the mean μ (b) Test these hypotheses using α: 0.05, what are your conclusions? (c) Find the P-value for this test. P 2.6547x1055
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