This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: Hypothesis Testing • Assuming that a given hypothesis were true: • 1) What are the characteristics (e.g., shape, mean, variance) of the sampling distribution speciFed by that hypothesis? • 2) On the basis of that hypothetical sampling distribution, what would be considered a rare, as opposed to a common outcome; i.e., what sort of outcome would lead us to doubt that the hypothesis was true? 1 Common vs. Rare Outcomes • Rare outcomes are those which fall in the tails of the hypothetical sampling distribution • Common outcomes are those which fall in the center of the hypothetical sampling distribution • “Statistically signiFcant” 2 A Revised Anatomy of a Hypothesis Test • Step #1: State the statistical hypotheses • Step #2: Specify the sample size and sampling distribution • Step #3: Specify the decision rule • Step #4: Specify the test statistic • Step #5: Carry out calculations • Step #6: Interpret Results 3 Statistical Hypotheses • Two components: • Null Hypothesis ( H ) • Usually the hypothesis that there is no effect • The hypothesis that we seek to falsify • Alternative Hypothesis ( H 1 ) • SpeciFes the basic effect that the researcher is expecting to observe • Not directly tested 4 One vs. TwoTailed Hypotheses • TwoTailed (Nondirectional) Tests • The expectation ( H 1 ) is simply that a difference will be observed • OneTailed (Directional) Tests • The expectation (...
View
Full
Document
This note was uploaded on 01/21/2009 for the course PSYC 60 taught by Professor Ard during the Winter '08 term at UCSD.
 Winter '08
 Ard

Click to edit the document details