The thickness (in millimeters) of the coating applied to hard drives is one characteristic that determines the usefulness of the product. When no unusual circumstances are present, the thickness (x) has a normal distribution with a mean of 5 mm and a standard deviation of 0.03 mm. Suppose that the process will be monitored by selecting a random sample of 16 drives from each shift's production and determining x, the mean coating thickness for the sample. USE SALT (a) Describe the sampling distribution of x for a random sample of size 16. The distribution of x is ---Select--- ✓with mean 5- 20x = 5+20x = mm and standard deviation (b) When no unusual circumstances are present, we expect x to be within 20 of 5 mm, the desired value. An x value farther from 5 mm than 20 is interpreted as an indication of a problem that needs attention. Calculate 5 ± 20%. mm mm mm. (c) Referring to part (b), what is the probability that a sample mean will be outside 5 ± 20 just by chance (that is, when there are no unusual circumstances)? (Round your answer to four decimal places.) (d) Suppose that a machine used to apply the coating is out of adjustment, resulting in a mean coating thickness of 5.03 mm. What is the probability that a problem will be detected when the next sample is taken? (Hint: This will occur if x > 5 + 20 orx < 5-20 when μ = 5.03. Round your answer to four decimal places.)
The thickness (in millimeters) of the coating applied to hard drives is one characteristic that determines the usefulness of the product. When no unusual circumstances are present, the thickness (x) has a normal distribution with a mean of 5 mm and a standard deviation of 0.03 mm. Suppose that the process will be monitored by selecting a random sample of 16 drives from each shift's production and determining x, the mean coating thickness for the sample. USE SALT (a) Describe the sampling distribution of x for a random sample of size 16. The distribution of x is ---Select--- ✓with mean 5- 20x = 5+20x = mm and standard deviation (b) When no unusual circumstances are present, we expect x to be within 20 of 5 mm, the desired value. An x value farther from 5 mm than 20 is interpreted as an indication of a problem that needs attention. Calculate 5 ± 20%. mm mm mm. (c) Referring to part (b), what is the probability that a sample mean will be outside 5 ± 20 just by chance (that is, when there are no unusual circumstances)? (Round your answer to four decimal places.) (d) Suppose that a machine used to apply the coating is out of adjustment, resulting in a mean coating thickness of 5.03 mm. What is the probability that a problem will be detected when the next sample is taken? (Hint: This will occur if x > 5 + 20 orx < 5-20 when μ = 5.03. Round your answer to four decimal places.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:The thickness (in millimeters) of the coating applied to hard drives is one characteristic that determines the usefulness of the product. When no unusual circumstances are present, the
thickness (x) has a normal distribution with a mean of 5 mm and a standard deviation of 0.03 mm. Suppose that the process will be monitored by selecting a random sample of 16 drives
from each shift's production and determining x, the mean coating thickness for the sample.
USE SALT
(a) Describe the sampling distribution of x for a random sample of size 16.
The distribution of x is ---Select---
✓with mean
5 - 20 =
5 + 20x =
mm and standard deviation
(b) When no unusual circumstances are present, we expect x to be within 20 of 5 mm, the desired value. An x value farther from 5 mm than 20 is interpreted as an indication of a
problem that needs attention. Calculate 5 ± 20%.
mm
mm
mm.
(c) Referring to part (b), what is the probability that a sample mean will be outside 5 ± 20 just by chance (that is, when there are no unusual circumstances)? (Round your answer to
four decimal places.)
(d) Suppose that a machine used to apply the coating is out of adjustment, resulting in a mean coating thickness of 5.03 mm. What is the probability that a problem will be detected
when the next sample is taken? (Hint: This will occur if x > 5 + 20 orx < 5-20 when μ = 5.03. Round your answer to four decimal places.)
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