| Description | Weighting (%) |
1. Sampling Distributions chi-squared, t- and F- distributions
| 10.00 |
2. Estimation properties of estimators, methods of maximum likelihood and moments, interval estimation, sample size determination
| 20.00 |
3. Hypothesis Testing concepts, Type I and II errors, normal-based tests of proportions, means and variances, large and small samples, one and two samples, Neyman-Pearson Lemma, likelihood ratio tests
| 20.00 |
4. Distribution-Free tests concepts, one and two sample tests of location, goodness-of-fit tests
| 20.00 |
5. One-way analysis of variance Concept, F-test, Kruskal-Wallis test
| 10.00 |
6. Regression the linear model, matrix approach to ordinary least squares, inference in the linear model.
| 20.00 |