PSYC 204 Lecture Notes - Lecture 16: Null Hypothesis, Type I And Type Ii Errors
Document Summary
Sampling of means is distributed a) normal distribution if n>30. H0 - null hypothesis = mean of sample belong to population h0 not population h1. H1 - alternative hypothesis = mean of sample belong to population h1 not population h0: type 1 error - false positive (+) When true h0 null hypothesis & false h1 alt. When tobs < |t"| so not in tail of distribution. When tobs > |t"| so yes in tail of distribution. Level of 0. 05 *type 1 error - false (+) Level = level that accept can make mistake of incorrectly rejecting h0 null hypothesis when true. *so only happen in 5% of samples - in tail: type 2 error - false negative (-) When false h0 null hypothesis & true h1 alt. When tobs >|t"| so not in tail of distribution. When tobs < |t"| so yes in tail of distribution. Level of 0. 05 *type 2 error - false (-)
