Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

Low statistical power undermines the purpose of scientific research; it reduces the chance of detecting a true effect. Perhaps less intuitively, low power also reduces the likelihood that a ...

As humans have developed cheaper and smaller sensors, web cameras and other data collection devices, the amount of data available to be analyzed and understood has exploded. Statistics is the ...

Statistics and science have been publicly slammed by some. The issues of climate change and COVID-19, in particular, have stirred accusations of bias, conspiracies, and even hoaxes (Philipp-Muller et ...

Descriptive statistics are the cornerstone of data analysis. This method provides the researcher with the tools necessary to understand the statistics on hand. It offers insight into the ...