SUMaC and Statistics

Mathematics and modelling go hand in hand. Much of mathematics is simply development of models that fit some subset of the universe or categorize some phenomena. So when it comes to statistical modelling a good deal of math is often involved. Yet this is a problem, because as useful as this modelling is, it suffers an enormous scarcity issue due to a challenging problem.

Mathematics is one of the least popular fields in all of academia. Many non-academics fear, loath, or reject math for a variety of reasons. Even many academics have professed that math is simply "not for them." And that could have happened to me too. While I was not struggling with math and I even had a certain fondness for it I was not particularly compelled to know more about it. I lacked the curiosity that is necessary to strive for insight to mathematical problems.

Thankfully I avoided this issue by enrolling in Mrs. Bailey's Category Theory class. There I learned an appreciation of math that I had lacked before and it led me on my path toward the Stanford University Mathematics Camp. And that was where I learned the true meaning of being a mathematician. It is more than creating formulas and equations. These things are often done, but it comes down to more than that. Mathematics is about solving problems in a logical manner. And these techniques are the cornerstone of succeeding in the modern business world.