MHB What are the Calculations for Exponential Distribution in Bank Arrival Times?

AI Thread Summary
The discussion focuses on calculating various statistics for an exponential distribution representing bank arrival times, specifically with a rate parameter $\lambda = 2$. The expected time between arrivals is correctly identified as 30 minutes. However, the standard deviation calculation is incorrect; the correct standard deviation is 0.5, not 0.25. The probability of arrival within 4 minutes is approximately 0.9996, and the probability for the interval between 2 and 5 minutes is calculated as approximately 0.018270. Overall, the calculations for expected time and probabilities are accurate, while the standard deviation needs correction.
shamieh
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Let $X$ = the time between two successive arrivals at the drive-up window of a local bank. $X$ has an exponential distribution with $\lambda = 2$. That is the probability density of $X$ is $f(X | \lambda) = \lambda e^{-\lambda x}, X > 0 $ with $\lambda = 2$. Compute the following:

a) The expected time between two successive arrivals.

b) The standard deviation of the time between successive arrivals.

c) $P(X\le4)$

d) $(P(2\le X<5)$

I just need someone to check my work to make sure I'm doing these right.

I think I've got the first part.. would it be

a) $\mu = 1/2 => 30$ minutes or half an hour?

And for b) I got:

b) $\sigma^2 = 1/\lambda^2 = (1/2)^2 = (1/4)^2 = 1/16$
so $\sigma^2 = \sqrt{1/16} => \sigma = .25$ ?

c) $P(X \le 4) = 1 - e^{-2*4} \approx 0.9996$

d) $\int^5_2 2e^{-2x} dx \approx 0.018270$
 
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Hi shamieh,

your answers are correct except for b). For an exponential distributed variable $X$ holds indeed $\mbox{Var}(X) = \frac{1}{\lambda^2} = \frac{1}{4}$ and hence for the standard deviation $\sigma^2 = \sqrt{\frac{1}{4}} = \frac{1}{2}$.
 
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