CHAPTER 1: DATA COLLECTION & METHODOLOGY SELECTION

• 1.1 Types of Sampling     - 1.1.1 Probabilistic Sampling     - 1.1.2 Non-probabilistic Sampling
• 1.2 Determination of Sample Size     - 1.2.1 Cochran’s Formula     - 1.2.2 Yamane’s Formula
• 1.3 Selection of Right Kind of Statistical Test     - 1.3.1 Measurement Scales     - 1.3.2 Normality of Data     - 1.3.3 Nature of Research Study     - 1.3.4 Decision Tree for Right Selection     - 1.3.5 Other Techniques
• Self Assessment & Exercise
• Appendix 1.1: Terminologies Related to Testing of Hypothesis
• Appendix 1.2: Analysis of Variance (ANOVA)

CHAPTER 2: DATA ORGANIZATION & REPRESENTATION

• 2.1 Types of Data
• 2.2 Frequency Distribution Tables & Graphs     - 2.2.1 Bar Chart & Pie Diagram     - 2.2.2 Histogram
• 2.3 Cumulative Frequency Distribution (Ogive)
• Self Assessment & Exercise
• Appendix 2.1: Transformation & Restructuring of Data Through SPSS Macro
• Appendix 2.2: Various Types of Experimental Variables

CHAPTER 3: DATA DESCRIPTION

• 3.1 Central Tendency     - 3.1.1 Mean     - 3.1.2 Median     - 3.1.3 Mode
• 3.2 Dispersion     - 3.2.1 Absolute Measures     - 3.2.2 Relative Measures
• 3.3 Skewness
• 3.4 Kurtosis
• Self Assessment & Exercise
• Appendix 3.1: Distribution of Sample Data

CHAPTER 4: RELATIONSHIP AMONG DATA

• 4.1 Correlation & Its Types     - 4.1.1 Pearson’s Correlation of order zero     - 4.1.2 Point Biserial Correlation     - 4.1.3 Rank Correlation     - 4.1.4 Partial Correlation     - 4.1.5 Semi Partial Correlation     - 4.1.6 Multiple Correlation     - 4.1.7 Tetrachoric & Polychoric Correlation     - 4.1.8 Auto Correlation     - 4.1.9 Spurious Correlation     - 4.1.10 Anti-image Correlation
• 4.2 Regression & Its Types     - 4.2.1 Ordinal Logistic Regression     - 4.2.2 Linear Multiple Regression
• Self Assessment & Exercise
• Appendix 4.1: Multicollinearity
• Appendix 4.2: Durbin Watson Statistic (Auto-correlation)
• Appendix 4.3: Detection & Removal of Outliers
• Appendix 4.3: Univariate Linear Regression
• Appendix 4.4: Algebra of Variance & Covariance

CHAPTER 5: PROBABILITY THEORY

• 5.1 Probability & Predictability     - 5.1.1 Classical Definition     - 5.1.2 Frequency Definition     - 5.1.3 Axiomatic Definition     - 5.1.4 Mathematical Properties of Probability
• 5.2 Probability Distributions     - 5.2.1 Discrete & Continuous Probability Distributions
• 5.3 Stochastic Processes & Its Convergence
• Self Assessment & Exercise
• Appendix 5.1: Bayes’ Theorem
• Appendix 5.2: More Discussions on Commonly Used Univariate Probability Distributions

SOLVED MCQs

FIRST MOCK TEST PAPER

SECOND MOCK TEST PAPER

QUICK REVISION

BIBLIOGRAPHY

APPENDIX-A: Degrees of Freedom

APPENDIX-B: Statistical Tables