Contents | Index

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

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