1. Properties of Correlation Coefficient (Karl Pearson)
2. Method of Least Squares (Concept Explanation)
3. Harmonic Mean (With example solutions)
4. Geometric Mean (With example solution)
5. Conditions for Consistency of data
(one, two and three attributes)
6. Fitting of Exponential Curve
7. Fitting of Power Curve
8. Fitting of Second Degree Parabola (Quadratic)
9. Fitting of Straight Line
10. Standard Deviation (Example with solutions)
11. Mean Deviation (Example with solutions)
12. Quartile Deviation (Example with solutions)
13. Range (Example with solutions)
14. Mode (Examples with Solutions)
15. Median (Examples with Solutions)
16. Mean (Examples with solutions)
17. Coefficient of Contingency (If the data in manifold, use these methods to know the association between attributes)
18. Association of attributes and its measurements (Yules Coefficient of association and contingency)
19. Criterion for Independence of attributes
20. Fundamental Concepts of Theory of Attributes
21. Derivation of Spearmen's Rank Correlation coefficient formula
22. Derivation of Regression lines
23. Correlation Analysis & calculation of Karl Pearson's Correlation (Example with solution)
24. Correlation Coefficient in bi-variate frequency distribution (Example with solution)
25. Calculation of Spearmen's rank correlation when ranks are tied (Examples with solution)
26. Calculation of Spearmen's rank correlation when ranks are not tied (Examples with solution)
27. Kurtosis: Meaning, Measures etc...
28. Skewness : Meaning, Measures etc...
29. Moments : Meaning, Relationship between central and non-central moments and vice-versa
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