Applied Statistics and Econometrics

COURSE LAYOUT

Week 1: Introduction (2), Descriptive Statistics (2), Random variable (1)Week 2: Probability distributions (2), Sampling (1), Estimation (2)Week 3: Sampling distribution (2), Hypothesis testing (3)Week 4: Analysis of variance (3), Contingency table and Chi-squared test (2)
Week 5: Index number (1), Correlation & Regression (2), Trend and seasonality in time series data (2)Week 6: Tutorial (1), Software sessions (4)Week 7: Classical linear regression model (CLRM) and statistical inference (5)Week 8: Model specification issues (2), Violations of CLRM assumptions (3)
Week 9: General linear model – relaxation of CLRM assumptions (5)Week 10: Dummy variable and its uses (2), Logit model (3)Week 11:Time series econometrics (5)Week 12: Software sessions (5)