Mahalanobis distance explained

Posted by & filed under Statistics, Teaching.

This post does a fantastic job of the Mahalanobis distance. Basically, one can think of it as a multivariate generalization of the z-score. That is, the standardized distance of a vector from the origin (mean vector).

Testing a hypothesis and hypothesis generation

Posted by & filed under Statistics, Teaching.

I like this podcast. It discusses some recent findings about genes possibly relating to Alzheimer’s Disease. In it, the guest speaks of not having a hypothesis going into the study. Then the host (or another guest) raised the question of conducting a study without a pre-defined hypothesis. The keyword was “hypothesis generation.” I’m happy this… Read more »

Cool articles in the New York Time’s: Statistics + R

Posted by & filed under R, Statistics.

so these articles are ‘old news,’ but here i am to blog it down before i forget. First article is entitled “For Today’s Graduate, Just One Word – Statistics,” and the second article is entitled “Data Analysts Captivated by R’s Power.” It really does feel re-enforcing and motivating when the NY Times write about your… Read more »

Sage (again): everything math

Posted by & filed under Statistics.

I blogged about Sage in the past and stated that I won’t be using it much since R is my language/environment of choice. This is still true, but I wanted to write a few more comments about Sage after toying with it a bit more. Sage is based on Python (good!) and its mission statement… Read more »