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Sample Problem. The time it takes an international telephone operator to place an overseas phone call is normally distributed with mean 45 seconds and standard deviation 10 seconds.


a. What is the probability that my call will go through in less than 1 minute?


b. What is the probability that I will get through in less than 40 seconds?


c. What is the probability that I will have to wait more than 70 seconds for my call to go through?


Solution:


a. First thing is, let $X$ be the time it takes to the telephone operator to place an overseas phone call. The probability we are looking for is


\begin{displaymath}\Pr (X<60)\end{displaymath}

In order to compute this probability, we need to normalize $X$ in the following way. We know that $Z=\frac{X-\mu }{\sigma }$ has standard normal distribution, so we compute


\begin{displaymath} \Pr (X<60)=\Pr \left( {\frac{X-\mu }{\sigma }<\frac{60-\mu }...
							... \left( {\frac{X-45}{10}<\frac{60-45}{10}} \right)=\Pr(Z<1.5)\end{displaymath}


\begin{displaymath}	\Phi (1.5)=0.933193 \end{displaymath}

(notice that since the mean is given in seconds, we have to write 1 minute as 60 seconds)


b. Same as before, let $X$ be the time it takes to the telephone operator to place an overseas phone call. The probability we are looking for is


\begin{displaymath} \Pr (X<40) \end{displaymath}

In order to compute this probability, we need to normalize $X$ in the same way we did before. We know that $Z=\frac{X-\mu }{\sigma }$ has standard normal distribution, so we compute


\begin{displaymath}
							\Pr (X<40)=\Pr \left( {\frac{X-\mu }{\sigma }<\frac{40-\mu }...
							...\left( {\frac{X-45}{10}<\frac{40-45}{10}} \right)=\Pr
							(Z<-0.5)
							\end{displaymath}


\begin{displaymath} \Phi (-0.5)=0.308538\end{displaymath}

c. $X$ is the time it takes to the telephone operator to place an overseas phone call. The probability we are looking for is equal to


\begin{displaymath} \Pr (X>70)=1-\Pr (X\le 70) \end{displaymath}

As before, we need to normalize $X$. We get that $Z=\displaystyle\frac{X-\mu }{\sigma }$ has standard normal distribution, and we compute


\begin{displaymath} \Pr (X\le 70)=\Pr \left( {\frac{X-\mu }{\sigma }\le \frac{70...
								...eft( {\frac{X-45}{10}<\frac{70-45}{10}}\right)=\Pr (Z\le 2.5)	\end{displaymath}


\begin{displaymath}\Phi(2.5)=0.99379\end{displaymath}

and therefore $\Pr (X>70)=1-\Pr (X\le 70)=0.00621$.