Like many mathematical topics, statistics can be persistently abstract and unintuitive. From dividing by n-1 instead of n, to proving results in infinite dimensional Hilbert spaces, statistics rarely goes down smooth on the first try. Most of the best statisticians take this challenge head on. They can quickly distill the Read More
Over the weekend my brother wanted to figure out his class schedule for the next semester. He is a veterinary medicine and zootechnology student at UNAM. For this upcoming semester there is a set of classes he has to take and each has 8 or so instructor options. The website Read More
Recently, Jeff Leek at Simply Statistics discussed why he does not use ggplot2. He notes “The bottom line is for production graphics, any system requires work.” and describes a default plot that needs some work:
library(ggplot2) ggplot(data = quakes, aes(x = lat,y = long,colour = stations)) + geom_point()
To Read More
I am currently a TA for an introductory biostatistics sequence at JHSPH where we teach students about the essentials of regression analysis. A great question that came up at office hours last week was, “What is likelihood?” I love this question because it is so fundamental to statistical thought, seems very intuitive, but actually Read More
In my post of recommendations for first-year students, I discussed some tips and viewpoints to help the practical, pragmatic aspects about being a first year student. In this post, I'd like to discuss the common misconceptions/viewpoints that are destructive to new students.