PO218 Lecture Notes - Lecture 7: Type I And Type Ii Errors, Standard Score, Null Hypothesis
Document Summary
Chapter 7 testing i: the one sample case: the basic logic of hypothesis testing, hypothesis testing for simple sample means, the five step model, other material covered, one vs. two tailed tests, type i vs. Type ii error: student"s t distribution, other material not covered, hypothesis testing for single sample proportions. Hypothesis testing: hypothesis testing is designed to detect significant differences: differences that did not occur by random chance. February 23, 2016: the observed difference may have been caused by random chance, hence, there are two explanations, or hypotheses, for the difference, the sample mean (3. 00) is the same as the population mean (2. 70). The difference is trivial and caused by random chance: the difference is real. The h1 always contradicts the h0: one (and only one) of these explanations must be true. If the probability is less than 0. 05, the calculated or obtained z score will be beyond (+/-) 1. 96 or the critical z score.
