Introduction to probability theory
Random Variable
Random Vector
Probability models for discrete random variable
Probability models for continous random variable
Statistical survey and exploratory analysis
Sample characteristics, Introduction to estimation theory
Hypothesis testing – principle
One-sample and two-samples parametric tests of hypothesis
Goodness of Fit tests
Tests for comparing more than two variances, ANOVA (one factor, two factors), Kruskal-Wallis test
Analysis of Independence
Introduction to Regression Analysis
Random Variable
Random Vector
Probability models for discrete random variable
Probability models for continous random variable
Statistical survey and exploratory analysis
Sample characteristics, Introduction to estimation theory
Hypothesis testing – principle
One-sample and two-samples parametric tests of hypothesis
Goodness of Fit tests
Tests for comparing more than two variances, ANOVA (one factor, two factors), Kruskal-Wallis test
Analysis of Independence
Introduction to Regression Analysis