I derive the mean and variance of the binomial distribution. I do this in two ways.

First, I assume that we know the mean and variance of the Bernoulli distribution, and that a binomial random variable is the sum of n independent Bernoulli random variables. I then take the more difficult approach, where we do not lie on this relationship and derive the mean and variance from scratch.

Your material is very good! I will continue with these lectures

Thanks

Thanks!

Woah! What a simple and clean explanation. Thanks a lot man!!! Please continue making these awesome tutorials.

Thanks for the kind words! I’ll get back to making videos as soon as I can.