6. There are four QA inspectors ina packaging factory. Each one issupposed to stamp the date ofarrival on each package at theend of the line. James, whostamps 20% of the packages,fails to stamp the expiration dateonce in every 200 packages;Jessie, who stamps 60% of thepackages, fails to stamp theexpiration date once in every 100packages. Leah, who stamps15% of the packages, fails tostamp the expiration date once inevery 100 packages; and Andre,who stamps 5% of the packages,fails to stamp the expiration dateonce in every 200 packages. If acustomer complains that thedate of arrival was not stampedon, what is the probability that itwas inspected by Jessie?

Given data Event E : dates was not stamped A: James stamps date P(A) = 0.20 P(E|A) = 1/200 =…

Answered: 6. There are four QA inspectors in a…

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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The monopolist in question can export an unlimited amount of steel at the world price of $5 per ton. How much should they sell, and at what price?
Suppose that the four inspectors at a film factory are supposed to stamp the expiration date on each package of film at the end of the assembly line. John, who stamps 20% of the packages, fails to stamp the expiration date once in every 200 packages; Tom, who stamps 60% of the packages, fails to stamp the expiration date once in every 100 packages; Jeff, who stamps 15% of the packages, fails to stamp the expiration date once in every 90 packages; and Pat, who stamps 5% of the packages, fails to stamp the expiration date once in every 200 packages. If a customer complains that her package of film doesn't show the expiration date, what is the probability that it was inspected by John? Determine using Bayes' theorem.
Suppose that the four inspectors at a film factory are supposed to stamp the expiration date on each package of film at the end of the assembly line. John, who stamps 20% of the packages, fails to stamp the expiration date once in every 200 packages; Tom, who stamps 60% of the packages, fails to stamp the expiration date once in every 100 packages; Jeff, who stamps 15% of the packages, fails to stamp the expiration date once in every 200 packages. If a customer complains that her package of film does not show the expiration date, what is the probability that it was inspected by John?
Suppose that the 4 inspectors at a film factory are supposed to stamp the expiration date on each package of film at the end of the assembly line. Jimuel Rey, who stamps 20% of the packages, fails to stamp the expiration date once in every 200 packages; Neil, who stamps 60% of the packages, fails to stamp the expiration date once in every 100 packages; Reymond, who stamps 15% of the packages, fails to stamp the expiration date once in every 90 packages; and Christine Mae, who stamps 5% of the packages, fails to stamp the expiration date once in every 210 packages. If a customer complains that her package of film does not show the expiration date, what is the probability that it was inspected by Jimuel Rey?
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Suppose that the four inspectors at a film factory are supposed to stamp the expiration date on each package of film at the end of the assembly line. John, who stamps 20% of the packages, fails to stamp the expiration date once in every 200 packages; Tom, who stamps 60% of the packages, fails to stamp the expiration date once in every 100 packages; Jeff, who stamps 15% of the packages, fails to stamp the expiration date once in every 90 packages; and Pat, who stamps 5% of the packages, fails to stamp the expiration date once in every 200 packages. If a customer complains that her package of film does not show the expiration date, what is the probability that it was inspected by John?

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