My name is Cody Buehler, and I grew up here in St. Joseph. I'm a Mathematics major, and plan to use my degree to become an actuarial scientist. This is my last semester here at MWSU, and it couldn't have come any sooner. I don't particularly have a "favorite" math theorem, but one I find quite useful is the Central Limit Theorem:

Let $Y_1, Y_2,...,Y_n$ be independent and identically distributed random variables with $E(Y_i)=\mu$ and $V(Y_i)=\sigma ^2 < \infty$. Define

(1)Then the distribution function of $U_n$ converges to the standard normal distribution function as $n \to \infty$. That is,

(2)This is very useful since it allows you to take raw data and relate it to a distribution in order to calculate various probabilities.

Lastly, here is a picture of me and my girlfriend enjoying a few drinks: