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A probability density function. gives us a way of discussing the probability that a randomly selected number falls between two ...

A deep understanding of what is an experiment, an outcome, a sample space, randomness, a continuous random variable, ...

In this section of the textbook we'll discuss probability; in this particular video we'll informally define a random variable. We are ...

Physical Applications of Stochastic Processes by Prof. V. Balakrishnan,Department of Physics,IIT Madras.For more details on ...

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

This video covers normal distributions, continuous distributions, density functions, cumulative distribution functions, the 68-95-99.7 ...

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

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

Week 02: Lecture 07: Discrete and Continuous random variables - I.

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

You have to know what this probability density function is in order to calculate the expected value of a continuous random variable ...

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

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

Introduces the normal distribution as a continuous random variable and describes how we interpret the probability density function ...

Lecture 7: Discrete and Continuous random variables.

Week 4: Lecture 32: Special Random Variables II.

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

Lecture 21: Convergence of sequence of random variables (Part 1)

Lecture 4: Random variable and Expectation I.

This video will cover normal distributions, including continuous distributions, density functions, cumulative distribution functions, ...