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: 3-118

Answer

41

Work Step by Step

Let $X$ be the random variable of number of patients that leave without being seen by a physician in the hospital 4. $X$ has the binomial distribution with parameters $n, p=\frac{242}{4329}=0.0559$ The probability mass function of $X$ is given by: $$ \mathbb{P}(X=x)=\left(\begin{array}{l} n \\ x \end{array}\right) 0.0559^{x} \times 0.9441^{n-x}, x=0,1, \ldots, n $$ Calculate using this formula: $$ \begin{array}{l} \mathbb{P}(X=0)=0.9441^{n} \\ \mathbb{P}(X \geq 1)=1-\mathbb{P}(X=0)=1-0.9441^{n} \end{array} $$ We are looking for the smallest $n$ such that $$ \mathbb{P}(X \geq 1) \geq 0.9 $$ This leads to: $$ \begin{array}{c} 0.9441^{n} \leq 0.1 \\ n \ln 0.9441 \leq \ln 0.1 \\ -0.05752 n \leq-2.30259 \\ n \geq 40.03 \end{array} $$ Therefore we conclude that the smallest sample size is $n=41$
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