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040713 UK Applied Statistics (2016W)

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

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Monday 03.10. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 10.10. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 17.10. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 24.10. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 31.10. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 07.11. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 14.11. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 21.11. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 28.11. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 05.12. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 12.12. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 09.01. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 16.01. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 23.01. 16:45 - 18:15 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Monday 30.01. 16:45 - 18:15 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).
Royall, R.: Statistical Evidence – A Likelihood paradigm, Chapman&Hall 1997
Gerald van Belle: Statistical Rules of the Thumb, Wiley 2008.

Association in the course directory

Last modified: Mo 07.09.2020 15:29