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Course Code: MEC-(O) 1831 Course Name: Basic Quantitative Techniques Unit I: Basic concepts of Mathematics

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Course Code: MEC-(O) 1831 Course Name: Basic Quantitative Techniques Unit I: Basic concepts of Mathematics

Role of Mathematics in Economics; Number System—Integers, Rational Numbers;

Irrational Numbers, Real Numbers and Imaginary Numbers; Gradient and Equation of Straight Line; Equations-Different types of equations-Basic concept (Linear and Quadratic)

Unit II: Measures of Central Tendency and Dispersion

Meaning and Scope of Statistics; Measures of central tendency— Arithmetic Mean, Median, Mode, Geometric Mean and their merits and demerits; Measures of dispersion—

Mean Deviation, Standard Deviation, Coefficient of Variation, Variance and their merits and demerits;

Unit III: Data Techniques and Correlation Regression analysis

Data collection methods; sampling techniques Correlation—meaning and scope: Karl Pearson’s Coefficient of Correlation; rank Correlation; concept of regression –difference between

Unit IV: Basic Econometrics

Nature, meaning and scope of econometrics; Relationship of econometrics with statistics, mathematics and economics; Nature and types of data for economic analysis;

Methodology of econometrics–model specification stage, model estimation stage, model evaluation stage;

Unit V Dummy Variable Technique and Hypothesis

Dummy variable –use of dummy variables, testing of hypothesis; Level of significance, Confidence limits and critical region; Type I and Type II error; one tailed and two tailed tests

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References:

1. Gujarati, D. N. (2004) Basic Econometrics, 4th Edition, Tata Mcgraw-Hill Publishing Company Ltd, New Delhi.

2. Koutsoyiannis, A. (2006), Theory of Econometrics, 2nd Edition, Palgrave, New York 3. S C Srivastava, Smt. Sangya Srivastava (2003) Fundamentals of statistics Anmol

publication

4. Croxton, Cowden and Klien , Applied General statistics

5. Schaum’s Outline (2005),An Introduction to Mathematical Economics, Tata McGraw Hill, New Delhi.

6. R.G.D Allen (1974), Mathematical Analysis for Economists, Macmillan Press, London.

7. D.N Elhance & Elhance (2009), Fundamentals of Statistics, Kitab Mahal, New Delhi.

Referensi

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