Suppose that $X$ is an exponentially distributed random variable. If you know that $P(X>1)=a$ for some value $a$, then what is $P(1<X<4)$?
I really struggle with this question.
Suppose that $X$ is an exponentially distributed random variable. If you know that $P(X>1)=a$ for some value $a$, then what is $P(1<X<4)$?
I really struggle with this question.
hope this helps: (let $X$ be the random variable you are talking about) \begin{align*} P(X>1) = 1 - P(X\leq 1) = 1 - F_{x}(1) = 1 - (1-e^{-\lambda 1}) = e^{-\lambda} \end{align*} And, \begin{align*} P(X>1) = a \ \Leftrightarrow e^{-\lambda} = a \Leftrightarrow \lambda = -\ln(a) \end{align*}
Once (by definition) $\lambda > 0$ we get that $a \in \hspace{0.1cm} ]0,1]$. And, more importantly, $X\sim Exp(-ln(a))$
To calculate $P(1<X<4)$ I suggest the following: \begin{align*} P(1<X<4) = F(4) - F(1) \end{align*}
Which can be calculated with two different procedures. (One is the same as the above, simply substituing the expression on the general formula for the cumulative Function)