Finite Math and Applied Calculus (6th Edition)

Published by Brooks Cole
ISBN 10: 1133607705
ISBN 13: 978-1-13360-770-0

Chapter 7 - Section 7.6 - Bayes' Theorem and Applications - Exercises - Page 518: 2

Answer

$P(B|A)=\frac{.6\times.3}{.6\times.3+.5\times .7}\approx .34$

Work Step by Step

Accordint to Bayes' theorem: $P(A|B)=\frac{P(B|A)P(A)}{P(B|A)P(A)+P(B|A')P(A')}$ Here, we have $P(A|B)= .6$ $P(B)= .3$ $P(A|B')= .5$ Be aware, that A and B are in the definition of the theorem. We know, that $P(B')=1-P(B)=1-.3=.7$ We can substitute into the definition: $P(B|A)=\frac{.6\times.3}{.6\times.3+.5\times .7}\approx .34$
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