# BBR Session 4: Hypothesis Testing, Branches of Statistics, P-values

**URL:** <https://discourse.datamethods.org/t/bbr-session-4-hypothesis-testing-branches-of-statistics-p-values/2612>\
**Category:** statistical\
**Tags:** inference\
**Created:** [October 22, 2019, 7:31pm UTC](https://discourse.datamethods.org/t/bbr-session-4-hypothesis-testing-branches-of-statistics-p-values/2612 "2019-10-22T19:31:25Z")\
**Posts on this page:** 1\
**Showing post:** 16

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**Author:** ![f2harrell](https://discourse.datamethods.org/user_avatar/discourse.datamethods.org/f2harrell/32/165_2.png) [@f2harrell](https://discourse.datamethods.org/u/f2harrell)\
**Post date:** [January 23, 2020, 1:54pm UTC](https://discourse.datamethods.org/t/bbr-session-4-hypothesis-testing-branches-of-statistics-p-values/2612/16 "2020-01-23T13:54:54Z")

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It is extremely difficult to use confidence intervals (better called compatibility intervals) and p-values correctly in my opinion. Some attempts are [here](https://discourse.datamethods.org/t/language-for-communicating-frequentist-results-about-treatment-effects). I firmly believe that science would be far better by attempting to answer the right question instead of more easily answering the wrong question. On that point see my take on Tukey’s classic statement [here](http://fharrell.com/post/journey).

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