MarketingExperiments.com (MEC), an online research laboratory, today announced that a free PDF file download for testing statistical validity is available at marketingexperimentsblog.com. The PDF file, Determining if a Data Sample is Statistically Valid, takes readers through the steps to quickly calculate the validity of their research data.
"We believe this will allow marketers to move more quickly as they test and to make sound decisions with less information," said Nick Usborne, senior editor at MEC. "It's a really useful and valuable document for any online marketer and it's free."
MEC has recently developed a certification program in online marketing, and through conducting the first course has found that the topic people wanted help with most was determining test result validity. As a result, Marketing Experiments is working with Dr. David Reiley, professor of economics for the University of Arizona, to develop a theorem for calculating validity with a small sample size that is based on making a prediction prior to running a test.
MarketingExperiments.com (MEC) is an online marketing research laboratory dedicated to discovering "what really works" in Internet marketing. MEC engages in primary and secondary research and publishes results in The Marketing Experiments Journal. To conduct relevant, practical experiments, MEC partners with clients such as the New York Times, Reuters News Service LLC, and USA Health Care. MarketingExperiments.com is a member of the MEC Labs Group and a division of Digital Trust, Inc.