LFU:online

Basic understanding of some fundamental concepts of descriptive and inductive statistics, as well as experience with an appropriate statistical software package.

After this course students should be able to calculate and understand measures of central tendency and variability, to present data graphically, to perform estimations, testing hypothesis, and to interpret results correctly.

Building on this students are able to expand their knowledge independently by consulting introductory textbooks.

Introduction, data measurement, empirical distributions, charts and graphs, measures of central tendency and variability, descriptive regression analysis, probability (unconditional and conditional), random variables and their moments, theoretical distributions, sampling and sampling distributions, point- and interval-estimators, statistical inference, stochastic regression analysis.

Quicktests, online exercises, written final exam (90 minutes)

Bleymüller J.: Statistik für Wirtschaftswissenschaftler. 16. Auflage, Vahlen 2012

Luhmann, M.: R für Einsteiger, Einführung in die Statistiksoftware für die Sozialwissenschaften, Beltz Verlag 2013