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Chapter 12

Ch. 12 - Introduction to ANOVA.docx

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Department
Psychology
Course
PSYC 2530
Professor
Anne Russon
Semester
Fall

Description
Ch. 12- Introduction to ANOVA Tuesday, November 13, 2012 5:39 PM PSYC 2530 Introductory Statistics Chapter 12: Introduction to Analysis of Variance  The major advantage of ANOVA is that it can be used to compare two or more samples o The t test is limited to 2 samples only  In the context of ANOVA, an independent variable or a quasi-independent variable is called a factor  The individual conditions or values that make up a factor are called the levels of the factor  Hypotheses for single-factor, independent-measures ANOVA: o o  o The F-ratio has the same basic structure as the t statistic but is based on variance instead of sample mean difference o  Type I Errors and Multiple-Hypothesis Tests o A test-wise alpha level is the risk of a Type I error, or alpha level, for an individual hypothesis test o When an experiment involves several different hypothesis tests, the experiment-wise alpha level is the total probability of a Type I error that is accumulated from all of the individual tests in the experiment
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