Share on LinkedInTweet about this on TwitterShare on Google+Share on FacebookShare on Reddit

R Bartlett Blog Post 1

Preparing For The Coming Flood … Of Statistical Malfeasance:

— Identifying & Understanding Statistics Problems

“The non-statistician cannot always recognize a statistical problem when he sees one.” — W. Edwards Deming

“The key element for a successful (big) data analytics and data science future is statistical rigor and statistical thinking of humans.”— Diego Kuonen

For business, the recent growth in fact-based decision making has provided a path to innovative new products and an escape for companies in disrupted industries.  Over the coming years, we should expect a corresponding growth in statistical malfeasance.  How large, you may well ask.  We can not be sure, even measuring today’s statistical malfeasance is difficult.  In addition to market forces, an important ingredient in this flood is a number of misunderstandings about the purview of statistics, statistical thinking, and the underlying statistical assumptions. 

The best protection from statistical malfeasance is to leverage three pillars for Best Statistical Practice: Statistical Qualifications, Diagnostics, & Review (QDR) (see ‘A Practitioner’s Guide To Business Analytics,’ McGraw-Hill (2013), Chapters 7-9).  The better we understand statistics problems, the better we can identify the best Statistical Qualifications, interpret the right Statistical Diagnostics, and apply an appropriate Statistical Review. 

We need to use Statistical Diagnostics to measure the accuracy and reliability of results.  Diagnostics are far more important for statistics problems, which do not have unique solutions in the way that we can mathematically deduce one answer.  We need Statistical Review to continuously improve decision making, data analysis, and data management.  Again, these three pillars are best facilitated using a savvy understanding of statistics problems. 

The article continues in the May/June 2015 issue of Analytics Magazine, http://goo.gl/Wod3gk

—————————————————————————————————————-

GUEST BLOGGER

Randy Bartlett
LinkedIn Group: About Data Analysis
Website: http://www.BlueSigmaAnalytics.com
Analytics Magazine: http://goo.gl/Wod3gk, http://goo.gl/rZ7ys
Datafloq Blog: https://goo.gl/8u31Ok

Please visit the book and ‘agree’ to the reviews if they are helpful at: http://amzn.to/YGhXzv

Share on LinkedInTweet about this on TwitterShare on Google+Share on FacebookShare on Reddit

Blog Publisher / Head of Data Science Search

Founder & Head of Data Science Search at Starbridge Partners, LLC.