lan the texture test, and only 0.8% fail both tests. If a strip is selected randomly from the process and a quick measurement identifies it as failing the length test, what is the probability that it is texture defective?
lan the texture test, and only 0.8% fail both tests. If a strip is selected randomly from the process and a quick measurement identifies it as failing the length test, what is the probability that it is texture defective?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Example 35:
The concept of conditional probability has countless uses in both industrial and
biomedical applications. Consider an industrial process in the textile industry in
which strips of a particular type of cloth are being produced. These strips can be
defective in two ways, length and nature of texture. For the case of the latter, the
process of identification is very complicated. It is known from historical information
on the process that 10% of strips fail the length test, 5% fail the texture test, and
only 0.8% fail both tests. If a strip is selected randomly from the process and a
quick measurement identifies it as failing the length test, what is the probability
that it is texture defective?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F470947a3-7291-4522-938e-4eebf0f2d138%2Fa68a94fb-b1ac-4cfd-b100-a12a7d40029f%2Fu2cjuu_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Example 35:
The concept of conditional probability has countless uses in both industrial and
biomedical applications. Consider an industrial process in the textile industry in
which strips of a particular type of cloth are being produced. These strips can be
defective in two ways, length and nature of texture. For the case of the latter, the
process of identification is very complicated. It is known from historical information
on the process that 10% of strips fail the length test, 5% fail the texture test, and
only 0.8% fail both tests. If a strip is selected randomly from the process and a
quick measurement identifies it as failing the length test, what is the probability
that it is texture defective?
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