Statistical discrimination is our tendency to believe something about a group of people based on a perceived group average. These beliefs don't necessarily have to come from a prejudiced point of view ...

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 ...

Robust statistical reasoning is vital in the courtroom, as historical cases have shown. Take, for example, the case of Sally Clark, who became the victim of a miscarriage of justice when she was ...

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 ...

It may be common knowledge that p < .05 indicates statistical significance. Psychology students (and others) are often taught that p < .05 means the probability (p) of rejecting the null hypothesis ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

So I have been thinking about the design environment for analog designers and the challenges that plague mixed signal design engineers in the new technology space as we design on process nodes that ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...