Marketing scientist Kevin Gray asks Dr. Randy Bartlett of Blue Sigma Analytics what Data Science really is and how it can help decision-makers.
Ray Poynter summarizes results from an August NewMR survey on statistics and statistical tools used by market researchers.
Marketing scientist Kevin Gray asks Professor Frank Harrell about some important things we often get wrong about statistics.
Much marketing research involves ideas about causation, for example that a new product failed because it didn’t meet certain consumer needs.
This article explores analytics, big data, and their impact in and outside of sports; and why the Browns are exploiting the power of data.
You see research findings and statistics quoted by the media all the time. Here’s why you’d better be careful before you actually use them.
I was taught, .05 is an arbitrarily agreed to compromise that splits the chances of making a Type 1 and Type 2 error.