Contents

1. Data Condensation and Presentation of Data  

1. Introduction to Statistics  

2. Data Condensation

3. Graphical Representation    

2. Descriptive Statistics 

1. Introduction

2. Measure of Central Tendency 

3. Partition Values 

4. Measure of Dispersion  

3. Moments, Skewness and Kurtosis   

1. Introduction

2. Concept of Raw Moments and Central Moments  

3. Concept of Symmetric Distribution, Skewness 

4. Kurtosis    

5. Choice of a Measure of Skewness and Kurtosis

4. Theory of Attributes   

1. Attributes  

2. Consistency of Data    

3. Independence and Association of Two Attributes   

4. Yule’s Coefficient of Association