Applied Statistics and Probability for Engineers, 6th Edition

Published by Wiley
ISBN 10: 1118539710
ISBN 13: 978-1-11853-971-2

Chapter 3 - Section 3-6 - Binomial Distribution - Exercises - Page 86: 3-117

Answer

14

Work Step by Step

Let $X$ be the random variable of number of cameras failing the test. $X$ has the binomial distribution with parameters $n, p=1-0.8=0.2$ The probability mass function of $X$ is given by: $$ \mathbb{P}(X=x)=\left(\begin{array}{l} n \\ x \end{array}\right) 0.2^{x} \times 0.8^{n-x}, x=0,1, \ldots, n $$ Calculate using this formula: $$ \begin{array}{l} \mathbb{P}(X=0)=0.8^{n} \\ \mathbb{P}(X \geq 1)=1-\mathbb{P}(X=0)=1-0.8^{n} \end{array} $$ We are looking for the smallest $n$ such that $$ \mathbb{P}(X \geq 1) \geq 0.95 $$ This leads to: $$ \begin{array}{c} 0.8^{n} \leq 0.05 \\ n \ln 0.8 \leq \ln 0.05 \\ -0.22 n \leq-2.99 \\ n \geq 13.61 \end{array} $$ Therefore we conclude that the smallest sample size is $n=14$
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.