Part variability is critical in the manufacturing of ball bearings. Large variances in the size of the ball bearings cause bearing failure and rapid wear-out. Production standards call for a maximum variance of .0001 when the bearing sizes are measured in inches. A sample of 15 bearings shows a sample standard deviation of .014 inches. () Use a = .10 to determine whether the sample indicates that the maximum acceptable variance is being exceeded. (ii) Compute the 90% confidence interval estimate of the variance of the ball bearings in the population Do NOT use EXCEL O a) (i) Variance exceeds maximum variance requirement. (i) Between 0.00012 and 0.00042 O b) (1) Variance exceeds maximum variance requirement. (1) Between 0.00052 and 0.00092 O) ) Variance does not exceeds maximum variance requirement. (ii) Between 0.0012 and 0.0042 d) None of the answers are correct
Part variability is critical in the manufacturing of ball bearings. Large variances in the size of the ball bearings cause bearing failure and rapid wear-out. Production standards call for a maximum variance of .0001 when the bearing sizes are measured in inches. A sample of 15 bearings shows a sample standard deviation of .014 inches. () Use a = .10 to determine whether the sample indicates that the maximum acceptable variance is being exceeded. (ii) Compute the 90% confidence interval estimate of the variance of the ball bearings in the population Do NOT use EXCEL O a) (i) Variance exceeds maximum variance requirement. (i) Between 0.00012 and 0.00042 O b) (1) Variance exceeds maximum variance requirement. (1) Between 0.00052 and 0.00092 O) ) Variance does not exceeds maximum variance requirement. (ii) Between 0.0012 and 0.0042 d) None of the answers are correct
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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![Part variability is critical in the manufacturing of ball bearings. Large variances in the
size of the ball bearings cause bearing failure and rapid wear-out. Production
standards call for a maximum variance of .0001 when the bearing sizes are measured
in inches. A sample of 15 bearings shows a sample standard deviation of .014 inches.
10 to determine whether the sample indicates that the maximum
(1) Use a =
acceptable variance is being exceeded.
(ii) Compute the 90% confidence interval estimate of the variance of the ball bearings
in the population
Do NOT use EXCEL
O a) (1) Variance exceeds maximum variance requirement.
(ii) Between 0.00012 and 0.00042
Ob) 1) Variance exceeds maximum variance requirement.
() Between O.00052 and 0.00092
O Variance does not exceeds maximum variance requirement.
(1i) Between 0.0012 and 0.0042
d) None of the answers are correct](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1d1894e6-ee73-41e7-9aa2-0f8f38749023%2F5ff3afef-d200-4060-80ed-f6ac0ffd6ee4%2Fk1nk3w6_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Part variability is critical in the manufacturing of ball bearings. Large variances in the
size of the ball bearings cause bearing failure and rapid wear-out. Production
standards call for a maximum variance of .0001 when the bearing sizes are measured
in inches. A sample of 15 bearings shows a sample standard deviation of .014 inches.
10 to determine whether the sample indicates that the maximum
(1) Use a =
acceptable variance is being exceeded.
(ii) Compute the 90% confidence interval estimate of the variance of the ball bearings
in the population
Do NOT use EXCEL
O a) (1) Variance exceeds maximum variance requirement.
(ii) Between 0.00012 and 0.00042
Ob) 1) Variance exceeds maximum variance requirement.
() Between O.00052 and 0.00092
O Variance does not exceeds maximum variance requirement.
(1i) Between 0.0012 and 0.0042
d) None of the answers are correct
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