Exponential Distribution

The exponential distribution is a popular continuous probability distribution. It is usually used to model the elapsed time between events.


Notes

\({\text{Exponential Distribution}}\)
PDF
\( \lambda e^{- \lambda x} \)
CDF
\( 1- e^{- \lambda x} \)
Mean
\( \displaystyle\frac{1}{\lambda}\)
Median
\( \displaystyle\frac{\ln{2}}{\lambda} \)
Mode
\( 0\)
Variance
\( \displaystyle\frac{1}{\lambda^2} \)


Practice Problems

The amount of time people spend waking up each morning can be modeled by an exponential distribution with the average amount of time equal to ten minutes.

\(\textbf{1)}\) State the probability density function.
\(\textbf{2)}\) What is \(\lambda\)?
\(\textbf{3)}\) State the cumulative density function.
\(\textbf{4)}\) What is the probabliity that a randomly selected person takes between 8 and 10 minutes to wake up?
\(\textbf{5)}\) What is the probabliity that a randomly selected person takes less than 7 minutes to wake up?
\(\textbf{6)}\) What is the probabliity that a randomly selected person takes more than 12 minutes to wake up?
\(\textbf{7)}\) What is the mode?
\(\textbf{8)}\) What is the variance?
\(\textbf{9)}\) What is the median?
\(\textbf{10)}\) What is the mean?


See Related Pages\(\)

\(\bullet\text{ Statistics Homepage}\)
\(\,\,\,\,\,\,\,\,\text{All the Best Topics…}\)
\(\bullet\text{ Uniform Distribution}\)
\(\,\,\,\,\,\,\,\,p(x)=\frac{1}{b-a}…\)
\(\bullet\text{ Binomial Distribution}\)
\(\,\,\,\,\,\,\,\,p(r)={}_{n}C_{r}(p)^r(1-p)^{n-r}…\)
\(\bullet\text{ Poisson Distribution}\)
\(\,\,\,\,\,\,\,\,P(x)=\displaystyle\frac{\lambda^x e^{-\lambda}}{x!}…\)
\(\bullet\text{ Continuity Correction}\)
\(\,\,\,\,\,\,\,\,c-.5\lt x\lt c+.5…\)

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