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Table of Contents

Week Lectures Discussions
1. Getting to know the contents of the course,Introduction to probability theory Combinatorics
2. Random Variable Introduction to probability theory
3. Random Vector Random Variable
4. Probability models for discrete random variable Random Vector
5. Probability models for continous random variable Probability models for DRV
6. Statistical survey and exploratory analysis Probability models for CRV
7. Sample characteristics, Introduction to estimation theory Exploratory data analysis
8. Hypothesis testing – principle Sample characteristics
9. One-sample and two-samples parametric tests of hypothesis Introduction to estimation theory, pdf
10. Goodness of Fit tests Testing Means, Proportions, Variances
11. Tests for comparing more than two variances, ANOVA, Kruskal-Wallis test Goodness of Fit tests
12. Analysis of Independence ANOVA, Kruskal-Wallis test
13. Introduction to Regression Analysis Analysis of Independence
14. Summary Regression