PSYC 2301 Lecture Notes - Lecture 8: Null Hypothesis, Type I And Type Ii Errors, Statistic
Document Summary
Tools you will need: z-scores (chapter 5, distribution of sample means (chapter 7) 8. 1 hypothesis testing logic: hypothesis testing is one of the most commonly used inferential procedures, definition: a statistical method that uses sample data to evaluate the validity of a hypothesis about a population parameter. Step 2: set the criteria for a decision. Step 2: set the decision criterion: distribution of sample outcomes is divided. Those likely if h0 is true: boundaries of critical region(s) are determined by the probability set by the. Those (cid:498)very unlikely(cid:499) if h0 is true: alpha level, or significance level, is a probability value used to define (cid:498)very unlikely(cid:499) outcomes, critical region(cid:523)s(cid:524) consist of the extreme sample outcomes that are (cid:498)very unlikely(cid:499) Step 3: (cid:523)continued(cid:524) compute sample statistics: data always collected after hypotheses stated, data always collected after establishing decision criteria, this sequence assures objectivity, compute a sample statistic (z-score) to show the exact position of the sample alpha level.
