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Statistical Methods
Paper Code:
ECO 402
Credits:
3
Contact Hours:
45.00
Max. Marks:
100.00
Objective:
To introduce basic concepts in statistics to the students; and
To help solving problems in statistics and interpreting results obtained.
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:
Gupta, S.P., Statistical Methods (Recent Edition), S.Chand and Sons, New Delhi.
Nagar, A.L. and R.K. Das, Basic Statistics, Oxford University Press, Bombay.
References:
Gupta, S.C. and V.K. Kapoor (1993), Fundamentals of Applied Statistics, S.Chand and Sons, New Delhi
Croxton, F.E., D.J.Cowden and S. Klein (1973), Applied General Statistics, Prentice Hall, New Delhi.
Speigel, M.R. (1992),Schaum’s Outline of Theory and Problems of Statistics, McGraw Hill Book, London.
Academic Session:
2016-17
Department News
Workshop on Applied Econometrics & Forecasting,26-27 Sep,2013)
Schedule for SEE Project, Nov. 2013
Expert Talk Ms. Deepika Kaurani on August 30, 2013
An Interface with Alumnae of Department of Economics
Guest Lecture by Prof. Satish Batra on August 7, 2013
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