A random variable X has pdf f(x)=ke−x/2 for x>0. Find k and E(X).
Let X have pdf f(x)=83x2 for 0≤x≤2. Compute the expected value E(X).
If X has probability density function f(x)=6x(1−x) for 0<x<1, find the expected value E(X).
For a random variable X with probability density function (pdf) f(x)=43(1−x2) for −1≤x≤1, find E(X).
The pdf of X is given by f(x)=kx for 0≤x≤2, and 0 otherwise. Determine k and find E(X).
Consider the pdf f(x)=x4c for x≥1. Find c and evaluate whether E(X) converges or diverges.
The probability density function of X is f(x)=kx−3 for x≥1 and 0 otherwise. Determine the value of k and state whether E(X) exists.
Let X have pdf f(x)=Γ(α)βαxα−1e−βxfor x>0. Express E(X) in terms of α and β.
The pdf of X is defined by f(x)=⎩⎨⎧ax,a(2−x),0,0<x<1,1<x<2,otherwise.
Determine a and compute E(X).
Find the expected value of a random variable X that is uniformly distributed on [0,5] with pdf f(x)=51 for 0≤x≤5.
Find the expected value of a random variable X with pdf f(x)=4e−4x for x>0.
Given a random variable X with pdf f(x)=4e−4x for x>0, calculate P(X>1.2).
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Number and Algebra
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Calculus