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Showing posts from November, 2025

Econometrics

Unit – I Nature and Scope of Econometrics and CLRM: Nature and Concept of Econometrics; Distinction between Economic Model and Econometric model; Concept of stochastic relation, Role of random disturbance in econometric model; Types of data; Classical Linear Regression Model (Simple linear regression and multiple linear regression) – the classical assumptions. Unit – II Estimation of Classical Linear Regression Model: Estimation of model by method of ordinary least squares (Derivation in simple linear model (SLRM) and multiple linear model (MLRM) with two regressors only); Simple correlation, partial correlation and multiple correlation (Definition, and interpretation in the context of SLRM and MLRM); Economic interpretations of the estimated model; Properties of the Least Squares Estimators (BLUE) in SLRM- Gauss-Markov theorem; Qualitative (dummy) independent variables – interpretation of slope dummy and intercept dummy. Unit – III Statistical Inference: Use of standard normal, χ2, t,...

Numerical Problems - Hypothesis Testing (Chi-Square Test for a Single Variance or Standard Deviation)

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Numerical Problems - Hypothesis Testing (t-Test)

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Numerical Problems - Hypothesis Testing (Z-Test)

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Numerical Problems - Probability

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Hypothesis Testing

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Properties of Poisson Distribution (Proof)

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Properties of Binomial Distribution (Proof)

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Theoretical Distribution

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Mathematical Expectation (Expected Value)

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Random Variable

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Odds

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Rules of Probability

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Approaches to find Probability

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Compound Events and Related Concepts

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Concept of Probability

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Statistical Methods for Economics

Statistical Methods for Economics Unit-IV Probability and Hypothesis Testing: Probability: Concept, Rules of Probability (Addition and Multiplication); Random variables; Mathematical Expectations, Theoretical distributions: Binomial, Poisson and Normal - their properties and uses, Hypothesis Testing: z, t and Chi-square tests. Concept of Probability Compound Events and Related Concepts Odds Approaches to find Probability Numerical Problems - Probability Rules of Probability Random Variable Mathematical Expectation (Expected Value) Theoretical Distribution Properties of Binomial Distribution (Proof) Properties of Poisson Distribution (Proof) Hypothesis Testing Numerical Problems - Hypothesis Testing (Z-Test) Numerical Problems - Hypothesis Testing (t-Test) Numerical Problems - Hypothesis Testing (Chi-Square Test for a Single Variance or Standard Deviation) .