Probability distribution explanation What exactly is a probability distribution, and what are the two requirements for a probability distribution? 
I am not sure what this means or how to apply it? Any examples that can be given would be great!
 A: Probability distributions describe the behavior of random variables.  Informally a random variable is a variable whose values occur by some chance mechanism.  Probability distributions describe that mechanism.  The cumulative probability function $F(x)=P[X\le x]$ when $x$ is a real number and $X$ is a real valued random variable where $P[X\le x]$ reads as the probability that $X$ is less than or equal to $x$.  $0\le F(x)\le 1$ and for any $y<x$, $F(y)\le F(x)$.  If $F$ is absolutely continuous, it has a derivative $f(x)=F'(x)$ which is called the probability density. For every $x$, $f(x)\ge0$ and over the range of $X$ it integrates to $1$.  If the distribution is discrete meaning that it takes on an at most countable set of values $x_i$ then $F(x)= \sum p(x_i)$  where $p(x_i) =$ probability that $X=x_i$, and the sum is taken for all $x_i\le x$.  $F$ can be a mixture of discrete and absolutely continuous components among other possibilities for a non decreasing non negative function that increases to $1$.
