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4. If a process creates a part with a diameter that follows a normal distribution with...
The diameter of units produced by your company's manufacturing process has a normal distribution, with a...
The diameter of units produced by your company's manufacturing process has a normal distribution, with a mean diameter of 50 mm and a standard deviation of 4 mm. You periodically select a unit and measure the diameter of the unit selected. a) (5-points) How likely is it that a unit you select has a diameter between 50 mm and 55 mm? b) (5-points) How likely is it that the unit you select has a diameter of at least 58 mm?...
1) We know that z has a standard normal distribution with a mean of 0 and...
1) We know that z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that z is less than 1.15 is . Use your z-table and report your answer to four decimal places. 2)A sample of 15 grades from a recent Stats exam has a mean of 69.3 points (out of a possible 100 points) and a standard deviation of 16.5 points. Calculate the z-score for the student who scored 74.1 points on...
4. The life span of a machined part produced follows a normal distribution. It has a...
4. The life span of a machined part produced follows a normal distribution. It has a mean of 1525 hours and a standard deviation of 60.5 hours. What is the probability that a part will have a life span: a) exceeding 1600 hours? b) between 1450 and 1650 hours?
A factory produces pistons whose diameters follow a normal distribution with a mean of 50 mm...
A factory produces pistons whose diameters follow a normal distribution with a mean of 50 mm and a standard deviation of 0.01 mm. For a piston to serve, its diameter must be between 49.98 and 50.02 mm. If the diameter is less than 49.98 mm it is rejected; if it is greater than 50.02 mm, it is reprocessed once and the new diameter follows a normal distribution of an average of 49.99 mm, a standard deviation of 0.01 mm. I....
A factory produces pistons whose diameters follow a normal distribution with a mean of 50 mm...
A factory produces pistons whose diameters follow a normal distribution with a mean of 50 mm and a standard deviation of 0.01 mm. For a piston to serve, its diameter must be between 49.98 and 50.02 mm. If the diameter is less than 49.98 mm it is rejected; if it is greater than 50.02 mm, it is reprocessed once and the new diameter follows a normal distribution of an average of 49.99 mm, a standard deviation of 0.01 mm. I....
Need help with A A particular manufacturing design requires a shaft with a diameter between 21.88...
Need help with A
A particular manufacturing design requires a shaft with a diameter between 21.88 mm and 22.015 mm. The manufacturing process yields shafts with diameters normally distributed, with a mean of 22.004 mm and a standard deviation of 0.005 mm. Complete parts (a)through (c EEB Click here to view page 1 of the cumulative standardized normal distribution table EEB Click here to view page 2 of the cumulative standardized normal distribution table a. For this process what is...
solve all parts please The diameter of the dot produced by a printer is normally distributed...
solve all parts please
The diameter of the dot produced by a printer is normally distributed with a mean diameter of 0.1 mm and standard deviation of 0.02 mm: (3 pts) (a) What is the probability that the diameter of the dot exceeds 0.066 mm? (b) What is the probability that the diameter is between 0.07 mm and 0.122 mm? (c) What standard deviation of diameters would be needed so that the probability in part (b) is 0.995?
A manufacturing process is turning out parts with a dimension having a normal distribution. The mean...
A manufacturing process is turning out parts with a dimension having a normal distribution. The mean of this dimension is 50.0 mm with a standard deviation of 1.2 mm. Approximately what percentage of parts will have a dimension greater than 48 mm?
A particular manufacturing design requires a shaft with a diameter of 18.000 mm, but shafts with...
A particular manufacturing design requires a shaft with a diameter of 18.000 mm, but shafts with diameters between 17.987 mm and 18.013 mm are acceptable. The manufacturing process yields shafts with diameters normally distributed, with a mean of 18.005 mm and a standard deviation of 0.004 mm. Complete parts (a) through(d) below. a. For this process, what is the proportion of shafts with a diameter between 17.987 mm and 18.000 mm? b. For this process, what is the probability that...
A particular manufacturing design requires a shaft with a diameter of 24.000 mm, but shafts with...
A particular manufacturing design requires a shaft with a diameter of 24.000 mm, but shafts with diameters between 23.991 mm and 24.009 mm are acceptable. The manufacturing process yields shafts with diameters normally distributed, with a mean of 24.004 mm and a standard deviation of 0.004 mm.Complete parts (a) through (d) below. a. For this process, what is the proportion of shafts with a diameter between 23.991 mm and. 24.000 mm? b. For this process what is the probability that...
The diameter of units produced by your company's manufacturing process has a normal distribution, with a mean diameter of 50 mm and a standard deviation of 4 mm. You periodically select a unit and measure the diameter of the unit selected. a) (5-points) How likely is it that a unit you select has a diameter between 50 mm and 55 mm? b) (5-points) How likely is it that the unit you select has a diameter of at least 58 mm?...
Need help with A
A particular manufacturing design requires a shaft with a diameter between 21.88 mm and 22.015 mm. The manufacturing process yields shafts with diameters normally distributed, with a mean of 22.004 mm and a standard deviation of 0.005 mm. Complete parts (a)through (c EEB Click here to view page 1 of the cumulative standardized normal distribution table EEB Click here to view page 2 of the cumulative standardized normal distribution table a. For this process what is...
solve all parts please
The diameter of the dot produced by a printer is normally distributed with a mean diameter of 0.1 mm and standard deviation of 0.02 mm: (3 pts) (a) What is the probability that the diameter of the dot exceeds 0.066 mm? (b) What is the probability that the diameter is between 0.07 mm and 0.122 mm? (c) What standard deviation of diameters would be needed so that the probability in part (b) is 0.995?
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