Shannon Wood: confidence intervals

see the advance pdf:

http://blogs.canisius.edu/mathblog/wp-content/uploads/sites/31/2012/11/Nov14SW.pdf

Sandra Jesuit: limit theorems and e

see the advance pdf:

http://blogs.canisius.edu/mathblog/wp-content/uploads/sites/31/2012/11/Nov14SJ.pdf

I liked Shannon’s talk on confidence intervals, mostly because they are so fun to tutor in the tutoring center. The concept is used throughout the intro stats courses, and even through regression analysis. Knowing what the news means, especially during the elections, with the margin of errors on their sampling and polls is critical to understand how close a race actually is.

Taking statistics with Shannon greatly enhanced her talk on confidence intervals: It was free review for the class and enjoyable to listen to a mathematical talk I already fully understand. As already stated, the talk fit perfectly given the Presidential election that took place this semester. If you do not understand confidence intervals, then you probably don’t understand error and randomness in general.

Since I had previously taken Business stats and AP stats, I was already very familiar with confidence intervals and hypothesis testing but Shannon did a great job introducing the material. They are one of my favorite stats topics, mostly because of how useful it is in the real world. Often times it’s hard to see how something relates to real life situations, but hypothesis testing is a great way to understand predictions and outcomes.