Example : Estimating the sample size The lengths of metal rods produced by an industrial process are normally distributed with standard deviation 1.8 mm. Suppose that a production manager requires a 99% confidence interval extending no further than 0.5mm on each side of the sample mean. How large a sample is needed to achieve such an interval? Objective: n for 99% confidence interval Za/20x Clo,99(Hx): W = 2 vn < 2(0.5) Available information: Available information: Population : X= length of a metal rods (mm) X~N(µx, o Sample : SRS with size: n =? = 1.82) %3D

Example : Estimating the sample size The lengths of metal rods produced by an industrial process are normally distributed with standard deviation 1.8 mm. Suppose that a production manager requires a 99% confidence interval extending no further than 0.5mm on each side of the sample mean. How large a sample is needed to achieve such an interval? Objective: n for 99% confidence interval Za/20x Clo,99(Hx): W = 2 vn < 2(0.5) Available information: Available information: Population : X= length of a metal rods (mm) X~N(µx, o Sample : SRS with size: n =? = 1.82) %3D

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Description: E | D Page view A Read aloud |V DrawY HighlightO Erase G37Example : Estimating the sample sizeThe lengths of metal rods produced by an industrial process are normally distributed withstandard deviation 1.8 mm. Suppose that a production manager requi

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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