Conditional Distributions 10/27

Remember the formula for conditional probability:

$$P(E\vert F)=\frac{P(E\cap F)}{P(F)}$$

Now suppose that E and F are events defined with regards to random variables X and Y. We cannot always use the actual probability of events such as $\{Y=y\}$ because that has probability 0.