Number and Algebra
Functions
Geometry & Trigonometry
Statistics & Probability
Calculus
A random variable XXX has pdf f(x)=ke−x/2f(x)=ke^{-x/2}f(x)=ke−x/2 for x>0x>0x>0. Find kkk and E(X)E(X)E(X).
Let XXX have pdf f(x)=38x2f(x)=\frac{3}{8}x^2f(x)=83x2 for 0≤x≤20\le x\le20≤x≤2. Compute the expected value E(X)E(X)E(X).
If XXX has probability density function f(x)=6x(1−x)f(x)=6x(1-x)f(x)=6x(1−x) for 0<x<10<x<10<x<1, find the expected value E(X)E(X)E(X).
For a random variable XXX with probability density function (pdf) f(x)=34(1−x2)f(x)=\frac{3}{4}(1-x^2)f(x)=43(1−x2) for −1≤x≤1-1 \leq x \leq 1−1≤x≤1, find E(X)E(X)E(X).
The pdf of XXX is given by f(x)=kxf(x)=kxf(x)=kx for 0≤x≤20\le x\le20≤x≤2, and 0 otherwise. Determine kkk and find E(X)E(X)E(X).
Consider the pdf f(x)=cx4f(x)=\frac{c}{x^4}f(x)=x4c for x≥1x\ge1x≥1. Find ccc and evaluate whether E(X)E(X)E(X) converges or diverges.
The probability density function of XXX is f(x)=kx−3f(x)=kx^{-3}f(x)=kx−3 for x≥1x\ge1x≥1 and 000 otherwise. Determine the value of kkk and state whether E(X)\mathrm{E}(X)E(X) exists.
Let XXX have pdf f(x)=βαΓ(α)xα−1e−βxfor x>0.\displaystyle f(x)=\frac{\beta^\alpha}{\Gamma(\alpha)}x^{\alpha-1}e^{-\beta x}\quad\text{for }x>0.f(x)=Γ(α)βαxα−1e−βxfor x>0. Express E(X)E(X)E(X) in terms of α\alphaα and β\betaβ.
The pdf of XXX is defined by f(x)={ax,0<x<1,a(2−x),1<x<2,0,otherwise.f(x)=\begin{cases} ax, & 0 < x < 1, \\ a(2-x), & 1 < x < 2, \\ 0, & \text{otherwise}. \end{cases}f(x)=⎩⎨⎧ax,a(2−x),0,0<x<1,1<x<2,otherwise.
Determine aaa and compute E(X)E(X)E(X).
Find the expected value of a random variable XXX that is uniformly distributed on [0,5][0,5][0,5] with pdf f(x)=15f(x)=\tfrac{1}{5}f(x)=51 for 0≤x≤50\le x\le50≤x≤5.
Find the expected value of a random variable XXX with pdf f(x)=4e−4xf(x)=4e^{-4x}f(x)=4e−4x for x>0x>0x>0.
Given a random variable XXX with pdf f(x)=4e−4xf(x)=4e^{-4x}f(x)=4e−4x for x>0x>0x>0, calculate P(X>1.2)P(X>1.2)P(X>1.2).
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