Statistics: Informed Decisions Using Data (4th Edition)

Published by Pearson
ISBN 10: 0321757270
ISBN 13: 978-0-32175-727-2

Chapter 5 - Section 5.4 - Assess Your Understanding - Applying the Concepts - Page 295: 39a

Answer

$P(both~chips~are ~defective)=\frac{49}{1999800}\approx0.00002450$

Work Step by Step

- First chip: The sample space are the 10,000 chips. So, $N(S_1)=10,000$ There are 50 defective chips. Now, consider the event "first chip is defective". $N()=50$ Using the Classical Method (page 259): $P(first~chip~is~defective)=\frac{N(first~chip~is~defective)}{N(S_1)}=\frac{50}{10,000}=\frac{1}{200}$ - Second chip: The sample space are the 9999 remaining chips. So, $N(S_2)=9999$ There are 49 remaining defective chips. Now, consider the event "second chip is defective". $N(second~chip~is~defective~|~first~chip~is~defective)=49$ Using the Classical Method (page 259): $P(second~chip~is~defective~|~first~chip~is~defective)=\frac{N(second~chip~is~defective~|~first~chip~is~defective)}{N(S_2)}=\frac{49}{9999}$ Now, using the General Multiplication Rule (page 289): $P(both~chips~are ~defective)=P(first~chip~is~defective)\times P(second~chip~is~defective~|~first~chip~is~defective)=\frac{1}{200}\times\frac{49}{9999}=\frac{49}{1999800}\approx0.00002450$
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