Public, Peer-Review & Editing Process for Book Titled “Making Good Decisions”: Volume 1 – Part V: Template for Reading Research Papers – Page 12: Statistical Classification
For new readers, please read the “Pinned Post” at the top of this Substack’s Home Page, and titled Why Use Public Peer-Review to Write a Book? - “See for Yourself”.
For returning readers and subscribers, this post presents and update of Page 12 from Volume 1 – Part V: Template for Reading Research Papers
See the downloadable pdf below:
Summary
This pdf file updates page 12 of the Template for Reading Research Papers.
Updates affect the Sample Questions.
Page 12 focuses on Statistical Significance based on Pearson/Neyman’s Hypothesis Classification based on Signal Detection theory in order to make a choice between two alternatives, as contrasted with yesterday’s post about Fisher’s Hypothesis Testing based on experimental designs that use averages from repetition, as well as randomness in order to accept or reject a Null Hypothesis subject to a confidence level.
Readers will benefit from remembering this distinction, and the Sample Questions shown on Pages 11 & 12 when they look at research papers that justify the validity of their findings with “Methods” of “Statistical Significance” because the “Modern Synthesis” for such statistical testing conflates the theories of Fisher/Pearson/Neyman in inconsistent ways.
Tomorrow’s post will provide Subscribers with the updated version of the complete Template for Reading Research Papers.
Developing…
”CTRI by Francois Gadenne” writes a business book in three volumes, published serially on Substack for public peer-review. The book connects the dots of life-enhancing practices for the next generation, free of controlling algorithms, based on the lifetime experience of a retirement age entrepreneur, & continuously updated with insights from reading Wealth, Health, & Statistics research papers on behalf of large companies as the co-founder of CTRI.