Grinstead-Snell-Probability · Problem 6.3.13

Sums of Random Variables

Mathematics · expected-value-variance-continuous

Problem

Let XX be a random variable that takes on nonnegative values and has distribution function F(x)F(x). Show that E(X)=∫0∞(1−F(x)) dx .E(X) = \int_0^{\infty} (1 - F(x))\,dx\,. Hint: Integrate by parts. Illustrate this result by calculating E(X)E(X) by this method if XX has an exponential distribution F(x)=1−e−λxF(x) = 1 - e^{-\lambda x} for x≥0x \geq 0, and F(x)=0F(x) = 0 otherwise.

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