In this course, students will learn point interval estimation, sufficiency and completeness, ancillary statistics, maximum likelihood and moment estimators, best unbiased estimator, hypothesis and significance testing, likelihood ratio tests and uniformly most powerful tests, confidence interval estimation, and asymptotic properties of estimators and tests.