![rw-book-cover](https://readwise-assets.s3.amazonaws.com/static/images/article4.6bc1851654a0.png) ## Metadata - Author: [[ronald-l.-wasserstein|Ronald L]] - Full Title:: The ASA Statement on P-Values: Context, Process, and Purpose - Category:: #🗞️Articles - URL:: https://readwise.io/reader/document_raw_content/152587490 - Finished date:: [[2024-03-16]] ## Highlights > While the p-value can be a useful statistical measure, it is commonly misused and misinterpreted. This has led to some scientific journals discouraging the use ofp-values, and some scientists and statisticians recommending their abandonment, with some arguments essentially unchanged since p-values were first introduced. ([View Highlight](https://read.readwise.io/read/01hs4kqsg6v333dfq6hrbmaxmn)) ## New highlights added [[2024-03-19]] > Researchers often wish to turn a p-value into a statement aboutthe truthofanull hypothesis,orabout the probability that random chance produced the observed data. The p-value is neither. It is a statement about data in relation to a specified hypothetical explanation, and is not a statement about the explanation itself ([View Highlight](https://read.readwise.io/read/01hsbdb0385p04wwtjjddr4h3e)) > A p-value provides one approach to summarizing the incompatibility between a particular set of data and > a proposed model for the data ([View Highlight](https://read.readwise.io/read/01hsbd8f9a7knsq76nsrhhz4pk))