During his Ph.D. research, mathematician Tyron Lardy worked on a new approach to hypothesis testing. Instead of the traditional p-value, he uses so-called e-values. These turn out to be more ...
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 ...
A Three-Phased Approach To Communicating Hypothesis Testing Results In Technical Product Development
In the realm of technical product development, hypothesis testing acts as a bridge between design, data and decision-making. It enables teams to move beyond assumptions and validate their ideas ...
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 ...
Permutation methods provide flexible, distribution-free approaches to statistical inference by rearranging data labels to generate an empirical null distribution for a test statistic. Historically ...
Researchers from Northwestern University, University of Pennsylvania, and University of Colorado published a new Journal of Marketing study that proposes abandoning null hypothesis significance ...
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When researchers conduct many statistical tests simultaneously, the chance of obtaining false positives increases. Traditional methods for multiple comparisons, such ...
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