040713 UK Applied Statistics (2014W)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 15.09.2014 09:00 to Th 27.11.2014 12:40
- Deregistration possible until Tu 21.10.2014 23:59
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.
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