Hypothesis validation is fundamental in scientific discovery, decision-making, and information acquisition. Whether in biology, economics, or policymaking, researchers rely on testing hypotheses to ...

In online A/B testing, we often face a significant practical challenge: the randomization unit differs from the analysis unit. Typically, control and treatment groups are randomly assigned at the user ...

Exercises and examples proposed by the Statistics discipline.#data-analysis #data-visualization, #hypothesis-testing #inference, #regression #correlation-analysis, #statistical-methods ...

One of the most important statistical analyses when designing animal and human studies is the calculation of the required sample size. In this review, we define central terms in the context of sample ...

Starting in 2011, a group of 270 scientists attempted to replicate 100 psychological studies. They found that out of these 100 studies, only 39 could be successfully replicated (Open Science ...

Rising incidence of blood cancer, genetic disorders, cardiovascular diseases and technological advancements and availability of new tests are some major factors driving the growth of the global ...

Abstract: We consider Bayesian multiple statistical classification problem in the case where the unknown source distributions are estimated from the labeled training sequences, then the estimates are ...

ABSTRACT: The objective of this study is to propose the Parametric Seven-Number Summary (PSNS) as a significance test for normality and to verify its accuracy and power in comparison with two ...