Emilie Clark: More on using simulations in statistics

(see her advance note from October 3).

Natalie Battaglia: Comparing proofs of the Pythagorean theorem

(no advance note needed, we hope….)

Emilie Clark: More on using simulations in statistics

(see her advance note from October 3).

Natalie Battaglia: Comparing proofs of the Pythagorean theorem

(no advance note needed, we hope….)

Emilie’s Talk:

I really enjoyed Emilie’s talk on simulations in statistics. I found it interesting and helpful that her second talk built off of her first talk that she worked on with Dr. Kuhlmann. My favorite part of the presentation is when she went through her actual calculations with us in the program. It was very helpful in being able to understand the material to be able to actually see it. It was apparent that Emilie put a lot of time and effort in her presentation as it showed in the final result and her talk.

I also liked Emilie’s talk. I have seen the the formal proof that [latex]s=frac{Sigma (x-bar{x})^2}{n}[latex] is biased in a regressions class. It was cool to see the minitab “experiment” showing that this is actually true for fairly large samples. It was also nice how she built her two talks on top of each other.

Emily’s talk on statistical simulations via mintab was superb. Theory is always interesting, but demonstrating theory through simulation definitely enhances one’s understanding. The ability to “play” on minitab coupled with its easy-to-use interface provides palpable evidence that the theory you are learning is valid (not that theory requires it).