Basic Stats with R

Basic concepts of stochastic: distributions, expected value, variance, covariance; Basic concepts of statistics: samples, mean value, quantiles, correlation; Intuitive statistics: Scatter diagrams, box plots; Estimators: Estimators for expected value and variance, hypothesis testing, linear regression; Learning objectives: The students understand the basic concepts of stochastic and statistics; can perform calculations with the concepts of stochastic and statistics; can observe statistical properties of samples from plots of the data; are able to estimate the properties of a distribution from a sample; Prerequisites: Basic arithmetics and algebra, basic calculus

For Students from Ukraine: Welcome! We are happy about  your participation in this course. Please note that the assessment of the course may have to be arranged separately to the other students. You will be informed about this in good time in the forum (only if available in the course!) / by e-mail.

The course covers the following topics:

1. Introduction
2. Data sets
3. Analizing data sets  (concpets and use of R)
4. Linear regression models
5. Probability and  distributions
6. Estimates and tests
7. Mulitvariate data sets