Boiling scientific truth down to a single number has had bad consequences for our understanding of the world.
Articles on Statistical significance
Displaying all articles
Researchers design studies that might disprove what’s called their null hypothesis – the opposite of the claim they’re interested in exploring.
The lack of large numbers of fossils makes it hard to study sexual dimorphism in dinosaurs. But a new statistical approach offers insight into this question and others across science.
Two prestigious journals have suggested abandoning the traditional test of the strength of a study’s results. But a statistician worries that this would make science worse.
Top contributors
-
University Distinguished Professor and Department Head of Statistics, Texas A&M University
-
Lecturer, Northwestern University
-
Neuroscientist and Associate Lecturer specialising in neuropsychopharmacology, University of Wollongong
-
Assistant Research Professor of Health Policy and Administration, Penn State