This video builds on Topic 21 by explicitly defining variance in terms of expectations, and the more general definition of moments. The video then considers calculating moments for a couple of simple examples, namely the exponential random variable, but also a property of moments for non-negative random variables. The second half of the video then considers central moments, and the relationship between moments and central moments (with an opportunity to mention Pascal's triangle!).