Learning outcomes

After studying this course, you should be able to:

• understand the properties of probability density functions and cumulative distribution functions

• define expectation, and be introduced to its important linearity property

• calculate raw moments and central moments, including their special cases, the mean and variance

• understand the effect of linear transformation on mean, variance and density

• calculate the moment generating function, and appreciate its link to moments.