When going to a casino, most people plan on one of two outcomes being true when they leave; either they have more money than they started with, or they are leaving with their pockets empty. But did you know that there is a way to calculate the odds of these outcomes? In my 480 talk on March 25th, I will be discussing the Gambler’s Ruin Problem, which explores the probability of winning big or going broke. I will also be giving an overview of Markov Chains and how they can be used to represent the Gambler’s Ruin Problem.
This topic sounds very creative and intriguing! Although I have heard about applications of statistics to casino predictions, I did not realize that the Gambler’s Ruin Problem could allow for calculating the odds of these specific outcomes. I am really interested to see what the odds are for going broke or winning, and I wonder if these outcomes vary by casino. I look forward to learning more about the calculations behind the Gambler’s Ruin Problem and how it produces these desired probabilities!
I think this is a very interesting topic with the world of sports betting growing rapidly. Although this may be centered around table games I think it would be applicable to all different types of gambling. It is a very unique topic to involve mathematics in. I am very excited for the talk today!
This sounds very interesting. I like the idea of learning about Markov chains throughout eh gamblers ruin problem. Furthermore I think there are a number of cool applications that this can apply to. I did not realize that math could so predictable calculate probabilities for something as unpredictable as gambling.
I wouldn’t think that there is necessarily math behind this at first, I have always just considered the casino luck. It was interesting to see just how mathematical this can be. I think Maddie P would have loved this talk.