In an article published in May 2014, Puget Systems published a variety of data on failure rates of graphics cards. In their studies, they found 1.57% of the GT/GTX 6xx series failed "in the field" (meaning cards actually sold to customers). Suppose we have a batch of 1000 of these cards and suppose the in-field failure rates of these cards happens to match up with the failure rate found by Puget. If you were to purchase two of these cards from the batch of 1000, what is the probability that at least one of your cards will fail?

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
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In an article published in May 2014, Puget Systems published a variety of data on
failure rates of graphics cards. In their studies, they found 1.57% of the GT/GTX 6xx series
failed "in the field" (meaning cards actually sold to customers). Suppose we have a batch
of 1000 of these cards and suppose the in-field failure rates of these cards happens to match
up with the failure rate found by Puget. If you were to purchase two of these cards from
the batch of 1000, what is the probability that at least one of your cards will fail?
Transcribed Image Text:In an article published in May 2014, Puget Systems published a variety of data on failure rates of graphics cards. In their studies, they found 1.57% of the GT/GTX 6xx series failed "in the field" (meaning cards actually sold to customers). Suppose we have a batch of 1000 of these cards and suppose the in-field failure rates of these cards happens to match up with the failure rate found by Puget. If you were to purchase two of these cards from the batch of 1000, what is the probability that at least one of your cards will fail?
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Shouldn't 100-1.57 be 98.43?

How did you get 96.88?

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