Testing rationality of decision-making and choice by evaluating the mathematical property of transitivity has a long tradition in biology, economics, psychology, and zoology. However, this paradigm is ...

Having data is only half the battle. How do you know your data actually means something? With some simple Python code, you can quickly check if differences in data are actually significant. In ...

Statistical inference comprises the methodologies by which conclusions about populations are drawn from sample data, encompassing parameter estimation, hypothesis testing and the quantification of ...

When researchers test several hypotheses simultaneously, the risk of false positive findings increases unless adjustments are made to account for multiplicity ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

During design verification, how many samples should you use for testing? A consultant answers the question. In the “MyQuickConsult Question Grab Bag," a new series, David Amor, cofounder of medical ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

The books Lies, Damn Lies, and Statistics (Wheeler, 1976) and Damned Lies and Statistics (Best, 2001) have raised questions about whether statistics can be trusted. A number of educated people today, ...

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From all my years in research and consulting, I think I’ve learned a thing or two about marketing worth sharing. Enduring fundamentals, mostly—yet often overlooked. So, over the course of my biweekly ...