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