A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...

Introduction Unsafe abortions contribute to 10% of preventable maternal deaths in Africa, with higher rates in humanitarian ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia to inform business and policy decisions.

Heritability explains some of why people who are related tend to be similar, both within and between generations. Source: (clockwise from top left) Pam Simon, Pixabay; Hank Miller, Wikimedia; De-Juan ...

Purpose: To assess medical students’ needs regarding statistics education and inform potential reforms in medical statistics teaching. Method: A self-administered questionnaire survey was conducted ...

In the early 1920s, a trio of scientists sat down for a break at Rothamsted agricultural research station in Hertfordshire, UK. One of them, a statistician by the name of Ronald Fisher, poured a cup ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Understanding and processing human language has always been a difficult challenge in artificial intelligence. Early AI systems often struggled to handle tasks like translating languages, generating ...

In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...