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
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ISBN:9781119256830
Author:Amos Gilat
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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
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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