Basic Methods of Statistical Data Analysis in Practice

Lectures:
Exploratory data analysis, types of variables, summarization of distributions. Probability theory.
Random variable and probability distribution, expected
value operator and moments of probability distribution, joint and conditional
distributions.
Probability models for discrete and continuous random variables.
Sampling distributions of the mean, distribution of sample proportion.
Point and interval estimation, hypothesis testing, pure significance tests, p-values Two sample tests, paired difference tests.
One factor analysis of variance, ANOVA table, multiple comparisons, post hoc
analysis.
Simple linear regression model.
Multiple regression models.