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Usually, all possible values of a continuous random variable constitute a finite or infinite continuous interval. The probability of this ...

Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up This is the first in a sequence of tutorials about continuous ...

Probability Foundation for Electrical Engineers by Dr. Krishna Jagannathan,Department of Electrical Engineering,IIT Madras.

Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up This is the second in a sequence of tutorials about continuous ...

Assume our random experiment (like spinning the roulette wheel and a ball on it) results in the following K elementary events (like ...

Probability Theory and Applications by Prof. Prabha Sharma,Department of Mathematics,IIT Kanpur.For more details on NPTEL ...

Statistics for Experimentalists by Dr. A. Kannan,Department of Chemical Engineering,IIT Madras.For more details on NPTEL visit ...

This video corresponds to lecture notes 14: http://inst.eecs.berkeley.edu/~cs70/sp13/notes/n14.pdf Gmail is what I'm on now.

This video highlights how to calculate probabilities, expected value and variance based on a univariate probability density ...

Probability Theory and Applications by Prof. Prabha Sharma,Department of Mathematics,IIT Kanpur.For more details on NPTEL ...

A 25 minute informal introduction to Expectation. This is mostly just a preview of topics to come.

Expectation for Discrete and then Continuous RVs. Examples for Ber, Geom, Exp, Normal. And Linearity of Expectation.

There is an important mistake in the slides about 34:00 . The integral in the definition of the standard normal CDF should have an ...

... to the largest value of the sample space so in the continuous case expectation of a function of a continuous random variable is a ...

Okay very simple proof but it gives you the idea of what how the operator expected value works on a random variable how it works ...

Lecture 8: Expectation of random variables and its properties.

MA105 - Lecture XX - Sections 5-1 and 5-2: Probability Distributions Topics: Random Variables, discrete and continuous; ...

Lecture 5: Random variable and Expectation II.

Lecture 6: Random variable and Expectation III.