Syllabus
1. Random sample. Distribution of sample mean and variance. Order statistics.
2. Point and interval estimates - basic principles. Empirical estimates, sample moments and quantiles.
3. Hypothesis testing principles.
4. One-sample and paired methods for quantitative data.
5. Two-sample methods for quantitative data.
6. One-sample and two-sample methods for binary adata.
7. Multinomial distributions and contingency tables.
8. Multi-sample methods for quantitative data. Analysis of variance. Multiple comparison principles.
9. Correlation analysis.
Annotation
Foundations of statistical methods. Recommended for bachelor's program in General Mathematics, specialization
Stochastics.