by Matt Millar | Mar 24, 2017 | Articles, Bayesian vs. Frequentist?, How To Measure Anything Blogs, News, What's New
Pop quiz: which of the following statements about decisions do you agree with:
- You need at least thirty data points to get a statistically significant result.
- One data point tells you nothing.
- In a business decision, the monetary value of data is more important than its statistical significance.
- If you know almost nothing, almost anything will tell you something.
(more…)
by Douglas Hubbard | Dec 8, 2008 | Bayesian vs. Frequentist?, Errata, How To Measure Anything Blogs, News
Under the Errata forum in a thread I called Second Print Run Corrections , one poster replied that he believed I incorrectly applied the term confidence interval in the book. I discuss several errors in that post in a reply in that thread. But it introduces another point of confusion apparently held by some about the difference between Bayesian vs. non-Bayesian methods in statistics and the epistemicologicaly philosophy debate of the frequentist vs. the subjectivist. I addressed it in another thread called Bayesian vs. Frequentist in this In the Clouds forum topic.
