Dec 13

The week in stats (Dec. 2nd edition)

Nov 13

The week in stats (Nov. 11th edition)

Oct 13

The week in stats (Oct. 21st edition)

  • Spreadsheets are user friendly, but they can also be dangerous. Patrick Burns explains why you should avoid spreadsheets and work with R instead.
  • How’s your fantasy team doing? Revolution Analytics compiles a series of Fantasy Football modelling articles by Boris Chen of New York Times.
  • Rexer Analytics has been conducting regular polls of data miners and analytics professionals on their software choices since 2007. They presented their results at the 2013 Rexer Analytics Data Miner Survey at last month’s Predictive Analytics World conference in Boston.
  • Everyone understands the p-value, except for those who don’t. Here is an example that once again shows the p-value – that workhorse of modern science – continues to be misinterpreted in even the top tiers of the scientific literature.
  • Despite all the hype surrounding big data and analytics, Louis Columbus of Forbes argues that the majority of business analysts lack access to the data and tools they need. Columbus explains why and how this should be changed.
  • Six Decades of the Most Popular Names for Girls, State-by-State, represented all in one interactive map.

Oct 13

The week in stats (Oct. 14th edition)

Oct 13

The week in stats (Oct. 7th edition)

  • The picture above is a very well-known mathematical construction called the fractal cat. Brian Lee Yung Rowe shows how to construct fractal artworks using R.
  • Arthur Charpentier of Freakonometrics explains how to construct ROC (rate of change Receiver Operating Characteristic) curves in R, as well as how to interpret and plot them. This is a useful for those in fields that frequently encounter longitudinal data, such as finance, engineering or biostatistics.
  • There are many kinds of intervals in statistics. To name a few of the common ones: confidence intervals, prediction intervals, credible intervals, and tolerance intervals. Each are useful and serve their own purpose. You should not only know their names, but also when to use them and why.
  • A map of the most visited website for every country in the world (source:, as well as the internet population of each country.
  • Suppose that you drop 5 blue marbles and 5 red marbles randomly (and uniformly) on the interval [0,1]. What is the probability that the marbles will interleave each other?