Estimation theory - unbiased estimators; efficiency; consistency; sufficiency; robustness.  The method of moments.  The method of maximum likelihood.  Bayesian estimation - prior and posterior distributions; Bayes’ theorem; Bayesian significant testing and confidence intervals.  Applications - point and intervals.  Estimations of means, variances, differences between means, etc.  Hypothesis testing theory - test functions; the Neyman - Pearson Lemma; the power function of tests, Likelihood ratio test.