QUESTION 4In general, an experienced quality control inspector of measurement of sheet metal stampingwould have a variance of 0.18 (inch)². A new joint inspector measures 101 stampings withvariance of 0.165 (inch)². Assume data is normally distributed, by using 95% significance level,test whether the new joint inspector is making satisfactory measurements.QUESTION 5A marketing study was done on consumer from two age groups for their spending on 20categories of consumer items. Based on 15 respondents in the 18 – 34 age group, the averagespending is RM76.40 with a variance of RM25.30. Meanwhile, based on 18 respondents in the35+ group, the mean and variance were RM71.20 and RM22.20 respectively. By assuming thepopulation variance are not equal, test if there is any difference in the mean spending betweenthese two populations in 95% significance level.

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Description: QUESTION 4In general, an experienced quality control inspector of measurement of sheet metal stampingwould have a variance of 0.18 (inch)². A new joint inspector measures 101 stampings withvariance of 0.165 (inch)². Assume data is normally distribut

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QUESTION 4 In general, an experienced quality control inspector of measurement of sheet metal stamping would have a variance of 0.18 (inch). A new joint inspector measures 101 stampings with variance of 0.165 (inch)?. Assume data is normally distributed, by using 95% significance level, test whether the new joint inspector is making satisfactory measurements.

QUESTION 4 In general, an experienced quality control inspector of measurement of sheet metal stamping would have a variance of 0.18 (inch). A new joint inspector measures 101 stampings with variance of 0.165 (inch)?. Assume data is normally distributed, by using 95% significance level, test whether the new joint inspector is making satisfactory measurements.

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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