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In this video I have solved a problem on the topic of joint probability density function of random variables X and Y.

In this video I have solved a problem on conditional probability.

How to generate random values of a random variable using its probability density function.

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

In this video I have solved an example in which I found the expected value, second moment, variance, and the standard deviation ...

The probability density function is nonnegative everywhere, and its integral over the entire space is equal to one. The terms ...

If a curve X has probability density function (pdf) `f(x)={{:(ax","0lexle1),(a","1lexle2),(3a-ax","2lexle3),(0",""otherewise"):}` Then, a is ...

In this video I have solved an example of binomial random variable.

Using Bayes Theorem to calculate conditional probabilities.

In this video I have solved a problem on Joint Cumulative Distribution function for random variables X and Y.

A solution to Schrödinger's equation in a hexagonal domain. The conditions are the same as in the video ...

In this video I have found the PDF and CDF of a function of two continuous random variables.

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

An integral is a basic tool of calculus, the mathematics of change. We cannot form a probability distribution function for a ...

View and download the lecture notes and solutions of the problems solved in this video at https://mathdojomaster.blogspot.com.

Maximum likelihood is a method of point estimation. This video covers the basic idea of ML.

Illustrating a Random Variable; Distinguishing Between a Discrete and Continuous random Variable; Finding possible Values of a ...

In this video, we define the expected value, or mean, of a continuous random variables and provide examples. This is lecture 24 ...

Statistics for Structural Reliability: 1. Single and Multivariate Distributions 1.3 Isoprobabilistic Transformation Dr Nico de Koker ...

How are the pdf and the cdf of a continuous random variable related to each other?