PSYC 316 Lecture Notes - Lecture 4: List Of Statistical Packages, Randomness, Jerzy Neyman
10 May 2016
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Document Summary
The history of hypothesis testing: stats in psychology are a relatively recent development: a) In fact, stats are a relatively new discipline: i. The major contributors in the early 20th century were: Ra fisher disliked karl pearson and he disliked egon (karl"s son) and jerzy ii. Nhst mainstreamed: nhst is not a unified theory, combination of the fisher and neyman/pearson schools of (competing) thought (despite them being major adversaries): i. The intro stats version of nhst that we"ve all learned (and that psychologists practice) is a hybrid of these two: From fisher we get the idea of: null hypothesis testing (test null hypothesis using a p-value): Steps: setup h0 (does not need to be null hypothesis), report the exact significance level (don"t reject/accept hypothesis), use only when we know little about the problem, statistical significance (though he would have rejected rigid adherence to. From neyman-pearson we get notions of: alternative hypothesis, decision error (test binary alternative hypotheses; errors):
