Thirty six bearings made by a certain process have a mean diameter of 0.64 cm and...
Thirty six bearings made by a certain process have a mean diameter of 0.64 cm and standard deviation 0:05 cm. Construct:
i. 99% confidence interval for the actual average diameter of bearings made by this process.
ii. 88% confidence interval for the actual average diameter of bearings made by this
process.
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Thirty six bearings made by a certain process have a mean
diameter of 0.64 cm and...
Thirty six bearings made by a certain process have a mean diameter of 0.64 cm and...
Thirty six bearings made by a certain process have a mean diameter of 0.64 cm and standard deviation 0.05 cm. Construct: 99% confidence interval for the actual average diameter of bearings made by this process 88% confidence interval for the actual average diameter of bearings made by this process.
Ten bearings made by a certain process have a mean diameter of 0.905 cm with a...
Ten bearings made by a certain process have a mean diameter of 0.905 cm with a standard deviation of 0.0050 cm. Assuming that the data may be viewed as a random sample from a normal population, construct a 95% confidence interval for the actual average diameter of bearings made by this process and interpret.
Eighteen bearings made by a certain process have a mean diameter of 0.75 cm with standard...
Eighteen bearings made by a certain process have a mean diameter of 0.75 cm with standard deviation of 0.05 cm. Need to use T-distribution. find 95% confidence interval for the actual average diameter of bearings made by this process. find 90% confidence interval for the actual average diameter of bearings made by this process.
1. Let X be a normal random variable with mean 16. If P(X < 20) 0.65,...
1. Let X be a normal random variable with mean 16. If P(X < 20) 0.65, find the standard deviation o. 2. The probability that an electronic component will fail in performance is 0.2 Use the normal approximation to Binomial to find the probability that among 100 such components, (a) at least 23 will fail in performance. X 26) (b) between 18 and 26 (inclusive) will fail in performance. That is find P(18 3. If two random variables X and...
The mean diameter of a ball bearing produced by a certain manufacturer is 0.80 cm with...
The mean diameter of a ball bearing produced by a certain manufacturer is 0.80 cm with a standard deviation of 0.03 cm. A sample of 36 ball bearings is randomly selected from a production run. What is the probability that the sample of ball bearings will have a mean of at most 0.815 cm? What is the probability that the sample of ball bearings will have a mean more than 0.81 cm?
The diameters of ball bearings made by a machine follow a normal distribution. Ball bearings that...
The diameters of ball bearings made by a machine follow a normal distribution. Ball bearings that are too large or too small are undesirable since they will not work properly. The manager wants to see if the machine is producing ball bearings that are significantly different from .35 inches. To make sure the machine is working properly, we take a random sample of 25 ball bearings and find that the sample mean diameter is .34 inches. Assume the population standard...
1. A bearing used in an automotive application is supposed to have a nominal inside diameter...
1. A bearing used in an automotive application is supposed to have a nominal inside diameter of 3.81 cm. A random sample of 25 bearings is selected and the average inside diameter of these bearings is 3.8037 cm. Bearing diameter is known to be normally distributed with standard deviation σ 0.03 cm. (a) Compute a 95%-confidence interval for the mean inside diameter. (b) Test the hypothesis H0 : μ = 3.81 versus H1 : μ关3.81 using α-001. What is the...
A bearing used in an automotive application is supposed to have a nominal inside diameter of...
A bearing used in an automotive application is supposed to have a nominal inside diameter of 3.81 cm. A random sample of 25 bearings is selected and the average inside diameter of these bearings is 3.8037 cm. Bearing diameter is known to be normally distributed with standard deviation σ = 0.03 cm. (a) Compute a 95%-confidence interval for the mean inside diameter. (b) Test the hypothesis H0 : µ = 3.81 versus H1 : µ 6= 3.81 using α =...
(2) A process manufactures ball bearings with diameters that are normally distributed with mean 25.1 millimeters...
(2) A process manufactures ball bearings with diameters that are normally distributed with mean 25.1 millimeters and standard deviation 0.08 millimeter. (a) To meet a certain specification, a ball bearing must have a diameter between 25.0 and 25.2 millimeters. Find the percentage of ball bearings that meet the specification. (b) Find the third quartile of the diameters.
2. (3 points) The diameter of ball bearings produced in a manufacturing process at a particular...
2. (3 points) The diameter of ball bearings produced in a manufacturing process at a particular company can be explained using a uniform distribution. All the ball bearings produced have a diameter that ranges over the interval 3.5 milimeters to 5.5 milimeters. What is the probability that a randomly selected ball bearing will have a diameter greater than 4.4 milimeters? 3. (3.5 points) The monthly incomes of trainees at a local mill are normally distributed with a mean of $1050...
1. Let X be a normal random variable with mean 16. If P(X < 20) 0.65, find the standard deviation o. 2. The probability that an electronic component will fail in performance is 0.2 Use the normal approximation to Binomial to find the probability that among 100 such components, (a) at least 23 will fail in performance. X 26) (b) between 18 and 26 (inclusive) will fail in performance. That is find P(18 3. If two random variables X and...
The diameters of ball bearings made by a machine follow a normal distribution. Ball bearings that are too large or too small are undesirable since they will not work properly. The manager wants to see if the machine is producing ball bearings that are significantly different from .35 inches. To make sure the machine is working properly, we take a random sample of 25 ball bearings and find that the sample mean diameter is .34 inches. Assume the population standard...
1. A bearing used in an automotive application is supposed to have a nominal inside diameter of 3.81 cm. A random sample of 25 bearings is selected and the average inside diameter of these bearings is 3.8037 cm. Bearing diameter is known to be normally distributed with standard deviation σ 0.03 cm. (a) Compute a 95%-confidence interval for the mean inside diameter. (b) Test the hypothesis H0 : μ = 3.81 versus H1 : μ关3.81 using α-001. What is the...
(2) A process manufactures ball bearings with diameters that are normally distributed with mean 25.1 millimeters and standard deviation 0.08 millimeter. (a) To meet a certain specification, a ball bearing must have a diameter between 25.0 and 25.2 millimeters. Find the percentage of ball bearings that meet the specification. (b) Find the third quartile of the diameters.
2. (3 points) The diameter of ball bearings produced in a manufacturing process at a particular company can be explained using a uniform distribution. All the ball bearings produced have a diameter that ranges over the interval 3.5 milimeters to 5.5 milimeters. What is the probability that a randomly selected ball bearing will have a diameter greater than 4.4 milimeters? 3. (3.5 points) The monthly incomes of trainees at a local mill are normally distributed with a mean of $1050...
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