Corollary 1. If X is a continuous random variable with finite variance o? and mean µ, then o² = E[X*] – µ² = = | a² fx(x) dx – p?
Corollary 1. If X is a continuous random variable with finite variance o? and mean µ, then o² = E[X*] – µ² = = | a² fx(x) dx – p?
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Proof
![Corollary 1. If X is a continuous random variable with finite variance o?
and mean u, then
o? = E[X*] – µ° = /
x² fx(x) dæ – µ²](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F976365cc-1fb0-4972-89c5-069de40f599b%2Fb88d8876-cbe9-4830-a8b4-c924859b10aa%2Faratrcq_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Corollary 1. If X is a continuous random variable with finite variance o?
and mean u, then
o? = E[X*] – µ° = /
x² fx(x) dæ – µ²
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