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 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 ...

Statistical inference comprises the framework by which data are used to draw conclusions about underlying phenomena or populations. At its heart lies hypothesis testing, a procedure that evaluates ...

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 ...

Consumers of research should not be satisfied with statements that “X is effective”, or “Y has an effect”. Gwenae l Piaser Empirical science needs data. But all data are subject to random variation, ...

Editor's Note: This post references research by Diederik Stapel. Many of his studies have since been found to be fradulent. Tomás de Torquemada, "The hammer of heretics," would have loved to hate the ...

Research and statistical analysis help us understand how the world works, how effective medications and treatments are, what influences our health, the best approach for business practices, and much ...