2.3 Deriving the Mean and Variance of a Continuous Probability Distribution

embed embed share link link comment comment
Embed This Video close
Share This Video close
bookmark bookmark bookmark bookmark bookmark bookmark bookmark bookmark bookmark bookmark bookmark bookmark
embed test
Rate This Video embed
Tags For This Video tags
rate rate tags tags related related lights lights

I work through an example of deriving the mean and variance of a continuous probability distribution. I assume a basic knowledge of integral calculus.

One Response to “2.3 Deriving the Mean and Variance of a Continuous Probability Distribution”

  1. Latheesh says:

    I don’t understand why mean is defined in such way. In statistics when a data is given we define mean by sum of the data given divided by no. if values but in discrete probability distribution and continuous probability distribution we define mean by multiplying random variable with respective probabilities So why is that

Have a Question or Comment?

Your email address will not be published. Required fields are marked *