This course is an introductory level statistics course on introducing following concepts: sampling from a normal distribution, maximum likelihood estimation, asymptotic properties of maximum likelihood estimators, confidence intervals and pivotal quantities, testing statistical hypothesis and test statistics, optimal tests, powerful tests: power function, Neyman-Pearson theorem, likelihood ratio tests, sufficient statistics, simple linear regression and correlation, analysis of variance.

**Class Schedule:**
`Section I (CRN:24163):` Mondays between 08:30-11:30 at OBL3 and

`Section II (CRN:24164):` Thursdays between 11:30-14:30 at D-206.