By matloff
The March 28 issue of Bloomberg Businessweek has a rather good summary of the problems of p-values, even recommending the use of confidence intervals and — wonder of wonders — “[looking] at the evidence as a whole.” What, statistics can’t make our decisions for us?
It does make some vague and sometimes puzzling statements, but for the p-values issue to actually find its way into such a nontechnical, mainstream publication as this one is pretty darn remarkable. Thank you, ASA!
The article, “Lies, Damned Lies and More Statistics,” is on page 12. Unfortunately, I can’t find it online.
In my previous posts on the p-value issue, I took issue with the significance test orientation of the R language. I hope articles like this will push the R Core Team in the right direction.
Related
R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more…
Source:: r-bloggers.com