The problem with p-values

Re:The problem with p-values by bayeslives on Wednesday October 12, 2016 @06:39AM (#12691735)

Good points. The NHST thing was invented by Neyman & Pearson as a tool for decision making, not for finding the truth.95% confidence means your intervals will be not to far off, in 95% of all samples.

Perhaps this is nice fur Quality Asurance in factories. Where I do repeated measurements and where I want a simple YES or NO.

But science usually asks: "what can I learn from this specific data? I don't do 100 samples and I'm not interested in being "not to far off moist of the time". I want a best estimation based on this specific sample".

NHST does not give that answer. Bayes does.

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Re:The problem with p-values by jsprogrammer on Wednesday October 12, 2016 @12:07PM (#12694083)

Science only asks, "Have I observed something contrary to my theories?" For non-deductive theories, the only real approach is to count the number of times you observed something agreeing with your theories vs. the total number of times you observed something (ie. p-value).

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