107.A24 Statistical methods of data analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2013W, VO, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture

Aim of course

The students will understand and learn how to apply the most important statistical methods in experimental data analysis.

Subject of course

Descriptive statistics; elementary introduction to probability; discrete and continuous random variables and their properties; estimation of unknown parameters from random samples; confidence intervals; statistical testing of hypotheses; linear models and regression; simulation of experiments

Additional information

The lecture is identical with 142.340

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri14:00 - 15:3004.10.2013 - 24.01.2014 Seminarraum 134Same as 142.340
Statistical methods of data analysis - Single appointments
DayDateTimeLocationDescription
Fri04.10.201314:00 - 15:30 Seminarraum 134Same as 142.340
Fri11.10.201314:00 - 15:30 Seminarraum 134Same as 142.340
Fri18.10.201314:00 - 15:30 Seminarraum 134Same as 142.340
Fri25.10.201314:00 - 15:30 Seminarraum 134Same as 142.340
Fri08.11.201314:00 - 15:30 Seminarraum 134Same as 142.340
Fri22.11.201314:00 - 15:30 Seminarraum 134Same as 142.340
Fri29.11.201314:00 - 15:30 Seminarraum 134Same as 142.340
Fri06.12.201314:00 - 15:30 Seminarraum 134Same as 142.340
Fri13.12.201314:00 - 15:30 Seminarraum 134Same as 142.340
Fri20.12.201314:00 - 15:30 Seminarraum 134Same as 142.340
Fri10.01.201414:00 - 15:30 Seminarraum 134Same as 142.340
Fri17.01.201414:00 - 15:30 Seminarraum 134Same as 142.340
Fri24.01.201414:00 - 15:30 Seminarraum 134Same as 142.340

Examination modalities

Oral examination, 45 min, 3 problems.

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
033 203 Statistics and Mathematics in Economics Mandatory elective

Literature

The slides can be downloaded from here. Additional books, see above.

Previous knowledge

Differential and integral calculus, elementary linear algebra

Accompanying courses

Continuative courses

Language

German