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SPSS - ANOVA
Chapter 11

11-1

Student Lecture Notes

Business Statistics:
A Decision-Making Approach
6th Edition

Chapter 11
Analysis of Variance

Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc.

Chap 11-1

Chapter Goals
After completing this chapter, you should be able to: Recognize situations in which to use analysis of variance
Understand different analysis of variance designs
Perform a single-factor hypothesis test and interpret results
Conduct and interpret post-analysis of variance pairwise comparisons procedures
Set up and perform randomized blocks analysis
Analyze two-factor analysis of variance test with replications results Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc.

Business Statistics: A Decision-Making Approach, 6e

Chap 11-2

© 2005 Prentice-Hall, Inc.

Chapter 11

11-2

Student Lecture Notes

Chapter Overview
Analysis of Variance (ANOVA)
One-Way
ANOVA

Randomized
Complete
Block ANOVA

Two-factor
ANOVA
with replication

F-test
F-test
TukeyKramer test Fisher’s Least
Significant
Difference test

Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc.

Chap 11-3

General ANOVA Setting
Investigator controls one or more independent variables Called factors (or treatment variables)
Each factor contains two or more levels (or categories/classifications) Observe effects on dependent variable
Response to levels of independent variable

Experimental design: the plan used to test hypothesis Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc.

Business Statistics: A Decision-Making Approach, 6e

Chap 11-4

© 2005 Prentice-Hall, Inc.

Chapter 11

11-3

Student Lecture Notes

One-Way Analysis of Variance
Evaluate the difference among the means of three or more populations
Examples: Accident rates for 1st, 2nd, and 3rd shift
Expected mileage for five brands of
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