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What is the “expected value” of a distribution?  Discuss how the expected value is computed, comparing the case of discrete and  continuous probability distributions.  Discuss what information the variance of the distribution conveys, and how a

What is the “expected value” of a distribution?  Discuss how the expected value is computed, comparing the case of discrete and  continuous probability distributions.  Discuss what information the variance of the distribution conveys, and how a

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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 What is the “expected value” of a distribution?
 Discuss how the expected value is computed, comparing the case of discrete and 
continuous probability distributions.
 Discuss what information the variance of the distribution conveys, and how a 
distribution with variance equal to exactly zero looks like (hint: think in terms of outcomes and their 
probabilities

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Step 1

Expected values in statistics can be understood as the what you will get back after performing some actions. It helps us to know after performing n number of trials, what value can be expected. It is useful when we have a long run of number of trials. It is denoted by E(xi), where xi's are variables.

 

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