Chapter 13 Outline Section 5

# Chapter 13 Outline Section 5 - IV Section 13.5 2-WAY ANOVA...

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IV. Section 13.5: 2-WAY ANOVA A. Introduction: B. In Section 13.3, we studied One-factor ANOVA. However, in most situations, the variance/differences in the values of the dependent variable can be explained by more than one factor. If this is the case, we use a factorial design to see if there are treatment differences with respect to two or more factors. C. We will consider, in particular, factorial designs where there are only two factors of interest. (There are designs which use more than two factors; however, the interpretations of results are somewhat complex).

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D. Example: Given the dependent variable, X=score on GMAT (Graduate Management Admission Test). Suppose you want to see if the SCORE is effected by Factor A (Preparation Program), Factor B (College) or a combination of the two factors. 1. Data Layout: Factor B (College) Business Eng Factor A 3-Hour 500 540 480 (Preparation) Review 580 460 400 Program) 1-Day 460 560 420 Prog 540 620 480 10-k 560 600 480 Course 600 580 410 2. In this example, we have
a. Three levels of Factor A (a=3)

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## This note was uploaded on 11/03/2009 for the course ISDS 2000 taught by Professor Nunnery during the Summer '08 term at LSU.

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Chapter 13 Outline Section 5 - IV Section 13.5 2-WAY ANOVA...

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