PREFACE

Preliminary Considerations

ELEMENTS OF VISUAL STATISTICS 

Measures of Central Tendency

Measures of Variability

Information Model of Variance

Standardization  

Normal Distribution

Normalization

Covariance

Correlation Analysis

Correlation: Interpretations

Correlation: Assumptions and Limitations

Regression: Structural Assumptions

Regression: Approximation of Assumed Structures

Regression Analysis

Regression on Multiple Categories

The Point-Biserial Coefficient of Correlation

Regression on Two Categories

The Phi Coefficient of Correlation

Sampling Theory

Correlation, Regression and Statistical Significance

Estimation of Statistical Significance

Assumptions of Significance Testing  

Single Classification Analysis of Variance

Double Classification Analysis of Variance

READINGS