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040713 UK Applied Statistics (2014W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Details

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Monday 06.10. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 13.10. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 20.10. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 27.10. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 03.11. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 10.11. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 17.11. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 24.11. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 01.12. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 15.12. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 12.01. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 19.01. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 26.01. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday 30.01. 16:45 - 19:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 16.02. 16:45 - 19:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

The lecture treats a number of important questions in application of statistics. In particular the following topics will be discussed: Basic Concepts of Statistics, Data Collection, Statistical Techniques used in Applied Statistics, Interpretation of Results, Modelling Strategies, Model Validation

Assessment and permitted materials

Attendance of lectures, Solving practical exercises, final test

Minimum requirements and assessment criteria

Students get familiar with a number of statistical methods and learn about critical points in the application of statistical methods.

Examination topics

The theoretical part of the course gives an introduction into the different topics. In the practical part students solve examples with R.

Reading list

David R. Cox, Christl A. Donelly: Principles of Applied Statistics. Cambridge University Press, 2011.

Everitt, B. S., Hothorn, T.: A Handbook of Statistical Analysis using R, Chapman&Hall/CRC, 2006.
Faraway, J.J.: Extending the Linear Model with R, Chapman&Hall/CRC, 2006.
Good, P. I., Hardin, J.W.: Common errors in Statistics (and how to avoid them), 3rd ed. J. Wiley&Sons 2009.
Groves, R.M. et al.: Survey Methodology, J. Wiley, 2004 (2010).
Landau, S. , Everitt, B. S.: A Handbook of Statistical Analysis using SPSS, Chapman&Hall/CRC, 2004.
Royall, R.: Statistical Evidence – A Likelihood paradigm, Chapman&Hall 1997
Gerald van Belle: Staistical Rules of the Thumb, Wiley 2008.

Association in the course directory

Last modified: Mo 07.09.2020 15:29