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Exercise
ABy Admin
May 04'23
Answer
Solution: E
The number that have errors is a binomial random variable with p = 0.03 and n = 100. Let X be the number that have errors. Then,
[[math]]
\begin{align*}
\operatorname{P}(\textrm{number that are error-free} ≤ 95) &=\operatorname{P}( X ≥ 5) =1 − \operatorname{P}(0) − \operatorname{P}(1) − \operatorname{P}(2) − \operatorname{P}(3) − \operatorname{P}(4) \\
&= 1- \binom{100}{0}(0.03)^0(0.97)^{100} - \binom{100}{1}(0.03)(0.97)^{99} - \binom{100}{2}(0.03)^2(0.97)^{98}\\ &- \binom{100}{3}(0.03)^3(0.97)^{97} - \binom{100}{4}(0.03)^4(0.97)^{96} \\ &= 0.1821.
\end{align*}
[[/math]]
Or, the Poisson approximation can be used. Then, [math]\lambda = 3 [/math] and
[[math]]
\begin{align*}
\operatorname{P}(X \geq 5) &= 1 - \frac{e^{-3}3^0}{0!} - \frac{e^{-3}3}{1} - \frac{e^{-3}e^2}{2!} - \frac{e^{-3}e^3}{3!} - \frac{e^{-3}3^4}{4!} \\
&= 1-e^{-3}(1 +3 + \frac{9}{2} + \frac{27}{6} + \frac{81}{24}) \\
&= 0.1847.
\end{align*}
[[/math]]