An Introduction to Mathematical Statistics and Its Applications (6th Edition)

Published by Pearson
ISBN 10: 0-13411-421-3
ISBN 13: 978-0-13411-421-7

Chapter 2 Probability - 2.4 Conditional Probability - Questions - Page 44: 25

Answer

$0.027$

Work Step by Step

Define the events $A_{1}$ = "Bearing came from supplier $1$." $A_{2}$ = "Bearing came from supplier $2$." $A_{3}$ = "Bearing came from supplier $3$." $B$ = "Bearing is defective" We are given: $P(A_{1})=0.5$ $P(A_{2})=0.3$ $P(A_{3})=0.2$ $P(B|A_{1})=0.02, P(B|A_{2})=0.03, P(B|A_{3})=0.04$ Now apply the theorem: $$\begin{align*} P(B)&=\displaystyle \sum_{i=1}^{n}P(B|A_{i})P(A_{i}) & & \\ &=(0.02)(0.5)+(0.03)(0.3)+(0.04)(0.2) \\ & =0.027 \end{align*}$$
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