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?

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.8: Probabilities Of Disjoint And Overlapping Events
Problem 2C
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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?
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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