So this week, we'll be covering a review 
of probability theory and random 
variables. 
We'll start our review by looking at, 
single variables and univariate 
distributions. 
we'll define, what a random variable is, 
and we'll define, distribution functions 
for discrete and continuous random 
variables. 
we'll pay, particular attention to the 
normal distribution, and its use in 
financial modeling. 
we'll also be able to define certain risk 
concepts that are based on a quantiles of 
a distribution, such as value at risk. 
After univariate random variables, we'll 
move in to bivariate and multivariate 
random variables and emphasize the 
statistical concepts of dependence. 
We'll focus on, correlation and 
covariance which are linear measures of 
dependence and are used very widely in, 
in finance. 
we'll define multivariate and bivariate 
distributions with an emphasis on the 
bivariate and multivariate normal 
distribution, and then we'll end the 
review by looking at linear combinations 
of random variables, and how those 
applies to the modeling of asset returns.