Emilie Clark: Using simulations in statistics

see http://blogs.canisius.edu/mathblog/wp-content/uploads/sites/31/2012/10/Oct3EC.pdf

Natalie Battaglia: Game theory

see http://blogs.canisius.edu/mathblog/wp-content/uploads/sites/31/2012/10/Oct3NB.pdf

Emilie Clark’s talk

Emilie’s talk on simulations was really easy to relate to because I took the same class with Dr. Kuhlmann last year. We also used Minitab in class and I currently use it in Topics in Stats. Unbiased estimators are the best estimators to use in statistics because whether the sample size is small or large, unbiased estimators are always the BEST estimators. When dealing with a larger sample size, biased estimators such as s can be used but when talking about a small sample size, s would not be an appropriate estimator to use. Emilie knew her topic in full and was able to answer the questions that she was asked. Her next topic of comparing two estimators for the same parameter should be interesting.

Natalie Battaglia’s talk

Natalie’s talk on Game Theory connected a basic childhood to linear algebra. She took something that we learned when we were little and connected in to math to figure out the real probabilities of each outcome. Rock, paper, scissors was one of the example she used and wrote out all of the possible outcomes between two players in a 3×3 matrix. The other example she used was a tree graph which displayed the same answers just in a different format. Using game theory is a rational way of making decisions and can be used for a number of different “games” in several ways.

Emilie’s talk:

I thoroughly enjoyed Emilie’s talk. I found it quite interesting since I am currently in MAT 352 and (tentatively) plan on going to grad school for statistics after I graduate from Canisius. We actually recently finished discussing the comparison of estimators in class. I loved the visuals in the presentation! Emilie’s use of Minitab was great and would definitely help clarify her topic for people with weak backgrounds in statistics. I was also impressed by her ability to answer questions. Clearly she knew the material. Nice work!