Descriptive Statistics

Brief description

  • Tasks and possibilities of statistics
  • Definition of a sample
  • Scales (interval scale, cardinal, ordinal and nominal)
  • Absolute and relative frequencies
  • Simple and cumulative frequency distributions, histograms
  • Measures of location (median, mode, average)
  • Dispersion measures (variance and standard deviation)
  • Two-dimensional frequencies and empirical distributions
  • Two-dimensional measures (empirical correlation and covariance)
  • Lorenz curve and Gini coefficient
  • Empirical regression lines
  • Contingency tables

Mode of delivery

face to face

Type

compulsory

Recommended or required reading and other learning resources/tools

Günther Bourier: Beschreibende Statistik, Gabler, Wiesbaden, 12th edition, 2014
PowerPoint slides and exercise sheets

Planned learning activities and teaching methods

Integrated classes (2 groups) Lectures and exercises

Assessment methods and criteria

Continuous assessment (three short written tests) and final written exam

Prerequisites and co-requisites

(Austrian) secondary school-leaving level in mathematics

Infos

Degree programme

Banking and Finance (Bachelor)

Cycle

Bachelor

ECTS Credits

3.00

Language of instruction

German

Curriculum

Full-Time

Academic year

2023

Semester

1 WS

Incoming

No

Learning outcome

After successful completion of the course, students can

  • illustrate data and frequency distributions in tables and graphs
  • analyse data and frequency distributions
  • calculate the relevant measures of location and dispersion, and correlations, and interpret them
  • to perform linear regressions, and interpret the results

Course code

0229-19-01-VZ-DE-04