Significantly misunderstood

The American Football season is restarting, and I must admit that I am a fan. I love the combination of tactics, strength and sports and although one of my best friends calls it “rugby for wimps with mattresses on” my son and I are hooked. There is just one gripe: The misuse of statistics. Great examples are:

” A team from New-England has never one one a Monday night while playing in Beige Socks”

“Quarterback Elway has only once been able to defeat a left-handed Quarterback”

“Chicago is more often defeated on uneven dates than Even numbered dates”

“R” you into statisitics?

“R” is a disruptive new open source analytics technology with a rapidly growing user community. It is a powerful and extensible statistical object oriented programming language. It was build to support rapid development of computational analytics and data visualisation. It can be and is easily extended (for example a new interpretative engine) and the benefits of these extensions are shared with the user community. There are now thousands of R analytics packages available to download made available by users in a growing academic and business community Several large software packages (such as Oracle, Greenplum and SAS), have integrations with the R language, or have released R language support. R has a vast array of standard graphical formats that can be reused, as well as good functionality for the production of bespoke plot and graphical format types