1. Statistics : Meaning, Nature and Limitations, 2. Statistics : Scope and Importance, 3. Types and Collection of Data (Univariate, Bivariate, Multivariate, Time Series and Cross Section Data), 4. Classification and Tabulation of Data, 5. Diagrammatic Presentation of Data, 6. Graphic Presentation of Data, 7. Measures of Central Tendency, 8. Geometric Mean and Harmonic Mean, 9. Partition Values, 10. Measures of Dispersion/Variance, 11. Measures of Skewness, 12. Measures of Kurtosis, 13. Probability Theory, 14. Probability Distributions or Theoretical Frequency Distribution, 15. Correlation, 16. Regression Analysis, 17. Index Number, 18. Analysis of Time Series, 19. Sampling Theory and Tests of Significance, 

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