Let X be a nonnegative random variable with density function f. Show that if r(u) = ?_u^? f(t) dt, then E(X) = ?_0^? P(X ? u) du = ?_0^? r(u) du. [Hint: this is the analogue of No. 18. Calculation with integrals is smoother than with sums.]
Added by Tyler L.
Close
Step 1
** Show more…
Show all steps
Your feedback will help us improve your experience
Madhur L and 50 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Wei Z.
If $Y$ is a continuous random variable with distribution function $F(y)$, find the probability density function of $U=F(Y)$
Functions of Random Variables
Summary
Let Γ(α) be the Gamma function, defined by Γ(α) = ∫ e^-x x^α-1 dx for α > 0. Prove that Γ(1/2) = √π . (Hint: Let y = √2x and use properties of the standard normal density function.)
Shaiju T.
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
Transcript
18,000,000+
Students on Numerade
Trusted by students at 8,000+ universities
Watch the video solution with this free unlock.
EMAIL
PASSWORD