Descriptive Statistics

Week 1:
1. Types of Statistical Data/
2. Primary Data/
3. Secondary Data/
4. Frequency Distribution/

Week 2:
5. Diagrammatic and Grouped data/
6. Stem and Leaf plot/
7. Box Plot/
8. Concept of Central Tendency/

Week 3:
9. Arithmetic Mean/
10. Geometric Mean/
11. Harmonic Mean/
12. Median and Mode/

Week 4:
13. Arithmetic Mean, Weighted Mean, Trimmed Mean, Corrected Mean-Part-1/
14. Arithmetic Mean, Weighted Mean, Trimmed Mean, Corrected Mean-Part-2/
15. Mode, Median and Partition values (Part I)/
16. Mode, Median and Partition values (Part II)

Week 5:
17. Measures of Dispersion/
18. Concept of variation and dispersion/
19. Absolute and Relative Measure of Dispersion (Part-1)/
20. Absolute and relative measures of dispersion (Part -2)

Week 6:
21. Moments/
22. Skewness and Kurtosis and their measures/
23. Problems on Moments, Skewness & Kurtosis

Week 7:
24. Problems on association of attributes/
25. Fitting of curves by least square method/
26. Fitting of Linear curve

Week 8:
27. Fitting of Parabolic curves/
28. Fitting of Exponential curve/
29. Fitting of Geometric Curves

Week 9:
30. Scatter diagram/
31. Product Moment correlation coefficient and its properties/
32. Practical- Problems on product moment correlation co-efficient

Week 10:
33. Rank correlation/
34. Practicals on rank correlation coefficient/
35. Fitting of Linear Regression and Related Results

Week 11:
36. Practicals : Problems on regression of two variables/
37. Multiple correlation and regression in three variables/
38. Measures and related results of multiple and partial correlation and regression in three variables

Week 12:
39. Partial correlation and regression in three variables/
40. Practicals on partial & multiple correlation & regression/
41. Co-efficient of determinatio