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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 found the PDF and CDF of a function of two continuous random variables.

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

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

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

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

Using Bayes Theorem to calculate conditional probabilities.

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

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

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

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

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

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

In this video I have found the PDF of the sum of two random variables. i.e. the PDF of W=X+Y.

STA642 - Probability Distributions Topic053 - Moments - concept by Dr. Saleha Naghmi.

Week 3: Lecture 12: Joint Distribution of RVs and Marginal densities.