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[ 551STMESUSK19 ] KV Survey Statistics
Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS B2 - Bachelor's programme 2. year Statistics Andreas Quatember 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Statistics and Data Science 2025W
Learning Outcomes
Competences
Students are able to apply the concepts of survey statistics with regard to sampling procedures, estimation methods and compensation for non-sampling errors.
Skills Knowledge
  • Knowing and understanding of the basic problems, terms and measures of survey statistics (k1,k2)
  • Applying and critically evaluating different sampling designs (k3,k4, k5)
  • Applying survey-statistical methods with the freeware R (k3)
  • Understanding and applying the simulation approach of survey statistics (k2,k3)
  • Basic concepts and quality criteria of survey statistics
  • Probability and non-probability sampling methods
  • Estimation methods
  • Variance estimation methods
  • Estimation under nonresponse
  • The simulation approach of survey statistics
  • Survey statistics with the freeware R
Criteria for evaluation Homeworks and written exam
Methods Presentations by the instructor

Homeworks

Language German
Study material Quatember A. (2019). Datenqualität in Stichprobenerhebungen. Eine verständnisorientierte Einführung in die Survey-Statistik. Springer Spektrum, Berlin.

Changing subject? No
Further information Basic knowledge of the freeware R is required.
Corresponding lecture (*)4MSSTKV: KV Stichprobenverfahren (4 ECTS) UND 551STMESPVK14: KV Stichprobenverfahren (4 ECTS)
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority