MOD-1 Normal distribution
MOD-2 Elements of Sampling Distribution, chi-square distribution and its uses.
MOD 3 t and F-distributions and their uses
MOD 4 Introduction to Statistical Inference – Concepts of Point Estimation, Interval Estimation and Hypothesis testing.
MOD 5 Criteria of a good estimator
MOD 6 Testing of hypotheses – different notions and concepts.
MOD 7 Numerical Illustrations based on different notions and concepts of hypothesis testing.
MOD 8 Tests concerning Mean and Variance of a univariate normal population.
MOD 9 Tests concerning Mean and Variance of two univariate normal populations.
MOD 10 Numerical illustrations based on the tests for a univariate and two univariate normal populations.
MOD 11 Estimation of model by method of ordinary least squares
MOD 12 Properties of estimators
MOD 13 Goodness of fit
MOD 14 Confidence intervals
MOD 15 Tests of hypotheses – Part-I
MOD 16 Tests of hypotheses – Part-II
MOD 17 Scaling and units of measurement
MOD 18 Gauss-Markov theorem
MOD 19 Forecasting– Part-I
MOD 20 Forecasting– Part-II
MOD 21 Estimation of parameters: Part-I
MOD 22 Estimation of parameters: Part-II
MOD 23 Properties of OLS estimators: Part-I
MOD 24 Properties of OLS estimators: Part-II
MOD 25 Goodness of fit - R2 and adjusted R2
MOD 26 Partial regression coefficients: Part-I
MOD 27 Partial regression coefficients: Part-II
MOD 28 Testing hypotheses – individual
MOD 29 Testing hypotheses – Joint
MOD 30 Functional forms of regression models: Part-I
MOD 31 Functional forms of regression models: Part-II
MOD 32 Qualitative (dummy) independent variables: Part-I
MOD 33 Qualitative (dummy) independent variables: Part-II
MOD 34 Multicollinearity
MOD 35 Heteroscedasticity: Part-I
MOD 36 Heteroscedasticity: Part-II
MOD 37 Serial correlation: Part-I
MOD 38 Serial correlation: Part-Ii
MOD 39 Omission of a relevant variable; inclusion of irrelevant variable
MOD 40 Tests of specification errors