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Mathematics 50 Online
OpenStudy (anonymous):

A probability problem generated by http://www.saab.org/actuarial.cgi

OpenStudy (anonymous):

OpenStudy (anonymous):

Would you need to integrate x f(x) from 0 to X ?

OpenStudy (anonymous):

You need to find the pdf of the distribution first and see what kind of random variable we are dealing with

OpenStudy (anonymous):

Here is the solution generated by http://saab.org/actuarial.cgi

OpenStudy (anonymous):

So we have \(X\sim\text{Exp}(\beta=7)\), so \[f_X(x)=\begin{cases}\frac{1}{7}e^{-x/7}&\text{for }x>0\\\\0&\text{else}\end{cases}\] I'll try it out with the method of distribution functions. If \(f_X(x)\) is the pdf, then the cdf is \[\begin{align*}F_X(x)&=\int_{-\infty}^xf_X(t)~dt\\ &=\frac{1}{7}\int_0^xe^{-t/7}~dt\\ &=1-e^{-x/7} \end{align*}\] Now to find the cdf of \(U\): \[\begin{align*}F_U(u)&=P(U\le u)\\ &=P([X]\le u) \end{align*}\] Here's a plot of the random variables:|dw:1391573504942:dw|

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