In the steel manufacturing process, the number of checking defects on 20 billet products are as follows: 4, 0, 2, 5, 7, 4, 2, 4, 4, 2, 4, 7, 1, 2, 3, 4, 7, 2, 4, 2 (a) What distribution is suitable for describe the number of checking defects in every product? (b) Based on your answer in (a), what is the confidence interval of the expected number of checking for each product? (Here, we assume that α = 0.05) Hint: Poisson process can be approximated as a normal distribution (the mean should be calculated from the given data).
In the steel manufacturing process, the number of checking defects on 20 billet products are as follows: 4, 0, 2, 5, 7, 4, 2, 4, 4, 2, 4, 7, 1, 2, 3, 4, 7, 2, 4, 2 (a) What distribution is suitable for describe the number of checking defects in every product? (b) Based on your answer in (a), what is the confidence interval of the expected number of checking for each product? (Here, we assume that α = 0.05) Hint: Poisson process can be approximated as a normal distribution (the mean should be calculated from the given data).
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:In the steel manufacturing process, the number of checking defects on 20 billet products are
as follows:
4, 0, 2, 5, 7, 4, 2, 4, 4, 2, 4, 7, 1, 2, 3, 4, 7, 2, 4, 2
(a) What distribution is suitable for describe the number of checking defects in every
product?
(b) Based on your answer in (a), what is the confidence interval of the expected number
of checking for each product? (Here, we assume that α = 0.05)
Hint: Poisson process can be approximated as a normal distribution (the mean should
be calculated from the given data).
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