Expected Value and Variance of a Discrete Random Variable | FRM Part 1 | Quantitative Analysis
In this video from the FRM Part 1 curriculum, we look at the concept of Expected Value and Variance of a discrete random variable. For this purpose, we use a solved example pulled from an old GARP Sample Paper. The learning objectives for this video are as below:
A) Understand and apply the concept of a mathematical expectation of a random variable
B) Describe the four common population moments.
C) Describe the features of an independent and identically distributed (iid) sequence of random variables.
D) Explain how the iid property is helpful in computing the mean and variance of a sum of iid random variables.
For more materials related to FRM Part 1 preparation, please head over to the course page below:
https://www.finRGB.com/courses/frm-pa...