Contents
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Index
Summary Statistics Using Frequencies
Summary Statistics Using Descriptives
Exploratory Data Analysis
Analysis of Cross-classifications Using Crosstabs
The Summarize Procedure
The Means Procedure
The OLAP Cubes Procedure
T Tests
One-Sample T Test
Paired-Samples T Test
Independent-Samples T Test
One-Way Analysis of Variance
GLM Univariate
Bivariate Correlations
Linear Regression
Discriminant Analysis
Factor Analysis
Hierarchical Cluster Analysis
K-Means Cluster Analysis
K-Means Cluster Analysis
Clustering Principles
Using K-Means to Classify Customers
Running the Analysis
Initial Cluster Centers
Iteration History
ANOVA
Final Cluster Centers
Distances between Final Cluster Centers
Number of Cases in Each Cluster
Building a Four-Cluster Solution
Plot of Distances from Cluster Center by Cluster Membership
Final Cluster Centers
Distances between Final Cluster Centers
Number of Cases in Each Cluster
Summary
Related Procedures
Recommended Readings
Nonparametric Tests
The Chi-Square Test
The Binomial Test Procedure
The Runs Test Procedure
One-Sample Kolmogorov-Smirnov Procedure
Nonparametric Tests for Two Independent Samples
Nonparametric Tests for Multiple Independent Samples
Nonparametric Tests for Two Related Samples
Nonparametric Tests for Multiple Related Samples
ROC Curve
Control Charts
Data Files Used
Table of Contents
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