Statistical Methods-I

Paper Code: 
ECO 113
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

Course Objectives:

 

 The objectives of this course are –

 

  1. To help the students understand the basic concepts related to statistics like population, sample, census survey etc.
  2. To acquaint them with diagrammatic and graphical representation of data and descriptive statistics.
  3. To introduce them to advanced statistical tools like correlation and regression.

 

 

Course Outcomes (COs):

Course

 Outcome (at course level)

Learning and teaching strategies

Assessment Strategies 

Paper Code

Paper Title

ECO 113

Statistical Methods-I

CO7:  Acquire knowledge of different statistical tools.

CO8: Application of statistical tools like descriptive statistics, correlation and regression for economic analysis.

CO9: Develop an understanding of use of statistical techniques in day-to-day-life.

 

Approach in teaching: Interactive Lectures and Discussions.

 

Learning activities for the students:

Practice Modules and

Assignments.

Class activity, Assignments and Semester end examinations.

 

 

12.00
Unit I: 
Introduction to Statistics
  • Basic concepts of Population and Sample, Census and Sample survey, Sampling – objectives, methods and bias, Primary and Secondary data
  • Frequency Distribution-Exclusive and Inclusive series
  • Diagrammatic representation of data-Bar Diagram and Pie Diagram
  • Graphic representation of data-Line Graph, Histogram, Frequency Polygon and Ogives.

 

12.00
Unit II: 
Central Tendency
  • Measures of Central Tendency- Mean, Median, Mode Geometric Mean and Harmonic Mean; and their characteristics.

 

12.00
Unit III: 
Dispersion, Skewness and Kurtosis
  • Concepts and measures of Dispersion, Skewness and Kurtosis.

 

12.00
Unit IV: 
Correlation Analysis
  • Simple Correlation - Karl Pearson’s Correlation Coefficient and Spearman’s Rank Correlation Coefficient.

 

12.00
Unit V: 
Regression Analysis
  • Concept of Simple Linear Regression, Regression Equations, Regression coefficients and fitting of regression lines by method of ordinary least squares.

 

Essential Readings: 
  1. Gupta, S.P., Statistical Methods , S.Chand and Sons, New Delhi.
  2. Croxton , F.E., D.J.Cowden and S. Klein, Applied General Statistics, Prentice Hall ,New Delhi.
  3. Speigel, M.R.,Schaum’s Outline of  Theory and Problems of Statistics, McGraw Hill Book, London.
  4. Nagar, A.L. and R.K. Das, Basic Statistics, Oxford University Press, Bombay.

 

Academic Session: 
2020-21
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