<p><b>Chapter </b>1: Data Management
<b>Chapter 2</b>: Descriptive Analysis
<b>Chapter 3</b>: Chi-Square test and its Application
<b>Chapter 4</b>: Correlation Matrix and Partial Correlation - Explaining Relationships
<b>Chapter 5</b>: Regression Analysis and Multiple Correlations - For Estimating a Measurable Phenomenon
<b>Chapter 6</b>: Hypothesis testing for decision making
<b>Chapter 7</b>: One Way ANOVA - For testing the variability among group Means
<b>Chapter 8</b>: Two Way Analysis of Variance – For Understanding the Causes of Variations
<b>Chapter 9</b>: Analysis of Covariance- To study the role of covariate in Experimental Research
<b>Chapter 10</b>: Cluster Analysis- For segmenting the population
<b>Chapter 11</b>: Application of Factor Analysis – To study the Factor Structure among Variables
<b>Chapter 12</b>: Application of Discriminant Analysis – For developing a classification model
<b>Chapter 13</b>: Logistic Regression – Developing a model for Risk Analysis
<b>Chapter 14</b>: Multidimensional Scaling for product positioning.</p>.