Descriptive Statistics Practicals

B.Sc. STATISTICS (With Mathematics)

Descriptive Statistics 

Practicals – Paper – I

Note: Minimum of 10 Practicals should be done

1. Graphical presentation of data (Histogram, frequency polygon, Ogives).
2. Diagrammatic presentation of data (Bar and Pie).
3. Computation of measures of central tendency(Mean, Median and Mode)
4. Computation of measures of dispersion(Q.D, M.D and D)
5. Computation of non-central, central moments, data.
6. Computation of non-central, central moments, corrections for grouped and and for ungrouped and Sheppard’s

7. Computation of Karl Pearson’s coefficients of Skewness and Bowley’s coefficients of
8. Fitting of straight line by the method of least squares
9. Fitting of parabola by the method of least squares
10. Fitting of power curve of the type by the method of least
11. Fitting of exponential curve of the type and by the method of least
12. Computation of correlation coefficient and regression lines
13. Computation of Rank correlation coefficient
14. Computation of Yule’s coefficients of association
15. Computation of Coefficients of Contingency

Note: Training shall be on establishing formulae in Excel cells and derive the results. The excel output shall be exported to MS word for writing inference.

Course Learning Outcomes

Students will acquire

• knowledge of Statistics and its scope and importance in various areas such as Medical, Engineering, Agricultural and Social Sciences
• knowledge of various types of data, their organization and evaluation of summary measures such as measures of central tendency and dispersion etc.
• knowledge of other types of data reflecting quality characteristics including concepts of independence and association between two attributes,
• insights into preliminary exploration of different types of
• Knowledge of correlation, regression analysis, regression diagnostics, partial and multiple