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: 3

Answer

$P(Y|X)=\frac{.8\times.3}{.8\times.3+.5\times .7}\approx .41$

Work Step by Step

According to Bayes' theorem: $P(Y|X)=\frac{P(X|Y)P(Y)}{P(X|Y)P(Y)+P(X|Y')P(Y')}$ Here, we have $P(X|Y)= .8$ $P(Y)= .3$ $P(X|Y')= .5$ We know, that $P(Y')=1-P(Y)=1-.3=.7$ We can substitute into the definition: $P(Y|X)=\frac{.8\times.3}{.8\times.3+.5\times .7}\approx .41$
Update this answer!

You can help us out by revising, improving and updating this answer.

Update this answer

After you claim an answer you’ll have 24 hours to send in a draft. An editor will review the submission and either publish your submission or provide feedback.