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Statistical Methods [1]

Paper Code: 
ECO 402
Credits: 
3
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 
  1. To introduce basic concepts in statistics to the students; and
  2. 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: 
  1. Gupta, S.P., Statistical Methods (Recent Edition), S.Chand and Sons, New Delhi.
  2. Nagar, A.L. and R.K. Das, Basic Statistics, Oxford University Press, Bombay.
References: 
  1. Gupta, S.C. and V.K. Kapoor (1993), Fundamentals of Applied Statistics, S.Chand and Sons, New Delhi
  2. Croxton, F.E., D.J.Cowden and S. Klein (1973), Applied General Statistics, Prentice Hall, New Delhi.
  3. Speigel, M.R. (1992),Schaum’s Outline of  Theory and Problems of Statistics, McGraw Hill Book, London.
Academic Session: 
2017-18 [2]

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Source URL: https://www.economics.iisuniv.ac.in/courses/subjects/statistical-methods-1

Links:
[1] https://www.economics.iisuniv.ac.in/courses/subjects/statistical-methods-1
[2] https://www.economics.iisuniv.ac.in/academic-session/2017-18