Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the ...

Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of ...

A new study from researchers at MIT and the University of Washington reveals an AI model that can accurately predict a person ...

A U.S. District Judge denied a lawsuit’s claims that Cook County’s sales of property for delinquent taxes are discriminatory ...

This course is a rigorous introduction to statistical inference: probability theory, confidence intervals, and hypothesis tests. The course also covers regression analysis, which is developed in a non ...

A lawsuit alleging that a disproportionate share of tax-debt sales in Black and Latino communities shows the system is ...

New research from the University of Kansas has found that an intervention based on the science of reading and math ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

This meant the transactions cost a whopping 1.56.00 onl. It was this transfer that triggered a host of inferential dialogue ...

Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of ...

Researchers tested a research-based intervention with English learners with math difficulty. The intervention proved to boost comprehension and help students synthesize and visualize information, ...