The Curious Statistician

Mar 22, 2011

March Madness

Did the NCAA get the March Madness rankings right?  Check out SportsMeasures.com

run by Patrick Fisher (brother of statistics.com instructor William Fisher).  Students from statistics.com's Rasch measurement courses will recognize the methodology.

Statistics has always had a vital role in sports, but it has traditionally been of the scorekeeping nature.  The variety of attributes and events that can be quantified has expanded, and so has the amateur armchair analysis that picks out interesting tidbits from among the morass of data.  Serious quantitative analysis of the same has been around for a couple of decades, but only recently has it been incorporated into player selection, compensation, strategy and tactics in a big way.

I once spoke to a former environmental scientist who was convinced that the betting world in Las Vegas was setting odds based on imperfect information.  He felt sure that more rigorous analysis, incorporating more variables, would yield more accurate odds, particularly in horse racing and baseball.  He came up with the models, and started to apply them.  However, the edge he gained, while definite, was minimal.  To truly make money with the improvement in odds accuracy, large sums would have to be wagered, sums that did not come readily to an environmental scientist.  He hooked up with the moneyed interests in Las Vegas, and shared the profits with them (and probably slept more fitfully).  After some years, the rest of the business caught up with him and what once were crude odds became more accurate and harder to beat.  So, he retired and wrote a magazine article about his experiences.

Comments


Leave a Comment

Add a Review of this item
Comment Title:
Your Name:
Your Email Address:
Notify me of new comments to this page:
Notify me of future course offerings:
Additional Comments:

Want to be notified of future course offering?


Enter your email address here:

What our students say:

“I realized one of my work projects would benefit from deeper statistical analysis, including functions I had a good background in and knew at one time, but I needed to dust the cobwebs off and catch up to changes in the field.” Douglas D. Reimel, Jr.

Douglas Reimel

"I’ve increased my exposure in my department and profession because I have experience with a number of data analysis approaches. I’ve been asked to give guest lectures in other classes on statistical methods and different strategies, and I was asked to present at a national conference." Todd Lewis, Ph.D., Associate ProfessorDepartment of Counseling and Educational DevelopmentSchool of EducationUniversity of North Carolina at Greensboro

Todd Lewis

"We’re trying to make it easier for patients to get their prosthetic arms to do exactly what they want them to do. I’ve applied what I’ve learned through my statistics.com courses, such as Baysian statistics, computing techniques, biostatistics, clinical trials, analysis and sensitivity software, bioavailability, probability distributions, data mining, and designing experiments to map brain impulses to muscle movement, which ultimate...

Patricia Shewokis

It took me a long time to find just the right program that provides the right mix of applied and theory, but I found the right one at statistics.com. My staff emerges from your training ready to make an impact on the company. Joseph SommaDirector, Market IntelligenceIndependent Health

Joseph Somma

"Traditionally, reports are designed to summarize data, but they can only tell you what happened. I'm applying data mining algorithms I've learned in my Statistics.com coursework to ask why something happened." Susan StranburgSoftware Developer

Susan Stranburg

"My courses help me look at more complex problems using different approaches to show more interesting aspects of conditions, beyond just tables and charts, more than just sampling or descriptive statistics." Cristobal BazanUnited Nations agency

Cristobal Bazan

I hear IT people complaining that they’re always needing to learn new technology because things in their field evolve and change quickly. The same thing is true in analytics. New techniques are developing rapidly. Robert Wood Director, Advanced Analytics Group, Merkle

Robert Wood

© Statistics.com 2004-2012