Lecture 8

# Lecture 8 - 2 The Logic Underlying F s Interpretation of s...

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1 One-Way ANOVA Testing Hypothesis incorporating two or more population means Single-Factor Model s ANOVA: Analysis of Variance s A procedure to compare sample means to find sufficient evidence to infer that the population means also differ. s Factor = Independent variable s One-way ANOVA: exactly one DV (always continuous) and exactly one IV (always categorical) The Logic Underlying F s Calculation of s The numerator: Among-groups variance s The denominator: Within-groups variance s The Central Point s If there are no differences among the groups, then the among-groups variance and the within-groups variance will be approximately equal.

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Unformatted text preview: 2 The Logic Underlying F s Interpretation of s A tabular form of a distribution s degrees of freedom ( d.f. ) s In two-group designs s and t are related ( = 2 ) The Problem of Comparing Individual Means s F ratio only reflected significant variation among groups. s It said nothing about exactly whether each mean is different from each other. s To solve this, statistical procedure are used for making these comparisons s Planned comparisons s Follow-up or post hoc tests s Tukey HSD, Scheffe, Duncan One-Way ANOVA in SPSS s Analyze → Compare Means → One-Way ANOVA s Options s Post Hoc s Contrasts...
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## This document was uploaded on 10/27/2011 for the course RHIM 5333 at Texas Tech.

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Lecture 8 - 2 The Logic Underlying F s Interpretation of s...

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