Category: P Values And Hypothesis Testing
Category: P Values And Hypothesis Testing
Coming August 28th! This episodic series from BSI's Emily Kaplan aims to change our collective conversation through art and science.
In early May 2024, Greg Glassman hosted a group of friends for tacos and an informal presentation of what science is, and the problems with the science of today.
Epoch TV recently released an interview with BSI’s Emily Kaplan on their show American Thought Leaders with Jan Jekielek.
By Emily KaplanThe final part of Sunday at BSI’s 2024 Epistemology Camp. The day was a loosely structured open discussion, covering probability, quantum theory, cosmology, journal publication and more.
Sunday at BSI’s 2024 Epistemology Camp was a loosely structured open discussion, covering probability, quantum theory, cosmology, and more.
Sunday at BSI’s 2024 Epistemology Camp was a loosely structured open discussion, covering probability, quantum theory, cosmology, and more.
Gerd dives into the history of statistical analysis in his field of psychology, which has led to a paradigm of rituals, in place of meaningful thought.
Greg Glassman kicked off the 2024 BSI Epistemology Camp with this presentation. Greg’s talk centers around the ‘breaking point’ from modern science to post modern science.
In this video Emily explains the difference between a Bayesian approach and a frequentist approach to analyzing statistics. A Bayesian analysis looks at prior probabilities combined with data to determine the probability that the hypothesis is true. A frequentist analysis compares the hypothesis to the null-hypothesis, a yes/no approach, to determine if the data could support the null-hypothesis. It then ranks the data with a P-value, but it actually says nothing about the hypothesis being true.
By Emily Kaplan