Coming soon
Statistical Methods
Paper Code:
ECO 402
Credits:
3
Contact Hours:
45.00
Max. Marks:
100.00
Objective:
1. To explain the various aspects of data analysis.
2. To comprehend the different measures of central tendency, dispersion and skewness.
3. To understand the techniques of correlation and regression analysis.
9.00
Unit I:
Data Analysis
- Basic concepts: Population and Sample, Census and Sample survey, Primary and Secondary data;
- Diagrammatic representation of data-Bar Diagram and Pie Diagram;
- Graphic representation of data-Line Graph, Histogram, Frequency Polygon, frequency curves and Ogives;
9.00
Unit II:
Measures of Central Tendency
Mean, Median, Mode-Calculations, their relative merits and demerits.
9.00
Unit III:
Dispersion & Skewness
- Absolute and Relative Measures of Dispersion-Range, Quartile Deviation, Mean Deviation, Standard Deviation;
- Skewness – concept and measures (Karl Pearson’s and Bowley’s measure).
9.00
Unit IV:
Correlation Analysis
- Simple Correlation - Karl Pearson’s coefficient of correlation;
- Spearman’s Rank Correlation Coefficient.
9.00
Unit V:
Regression Analysis
- Concept of Simple Regression;
- Regression lines and Regression Coefficients;
- Fitting of regression lines (method of least squares).
Essential Readings:
1. Gupta, S.P., Statistical Methods, S. Chand and Sons, 2012.
2. Nagar, A.L. and R.K. Das, Basic Statistics, Oxford University Press, 1985.
References:
1. Croxton, F.E., D.J.Cowden and S. Klein, Applied General Statistics, Prentice Hall.
2. Speigel, M.R.,Schaum’s Outline of Theory and Problems of Statistics, McGraw Hill Book, 2017.
Academic Session:
