Universität Wien

230236 VO Statistics for Social Scientists 1 (Lecture) (2021W)

4.00 ECTS (2.00 SWS), SPL 23 - Soziologie
REMOTE
Moodle

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Details

max. 30 participants
Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 30.11. 10:00 - 12:00 Digital
  • Friday 03.12. 10:00 - 12:00 Digital
  • Tuesday 07.12. 10:00 - 12:00 Digital
  • Friday 10.12. 10:00 - 12:00 Digital
  • Tuesday 14.12. 10:00 - 12:30 Digital
  • Friday 17.12. 10:00 - 12:00 Digital
  • Tuesday 11.01. 10:00 - 12:00 Digital
  • Friday 14.01. 10:00 - 12:00 Digital
  • Tuesday 18.01. 10:00 - 12:00 Digital
  • Friday 21.01. 10:00 - 12:00 Digital
  • Tuesday 25.01. 10:00 - 12:00 Digital

Information

Aims, contents and method of the course

This course is intended to provide the foundations of statistical techniques commonly implemented in social sciences. In addition, the refresher course aims at achieving a common standard in statistical methods among students, and help prepare for more advanced quantitative courses.
The course will start by introducing students with basic concepts, notations, and techniques of summarizing and presenting data in a meaningful way. The second part will focus probability and probability distributions. The third part of the course will deal with the basic problem of statistical analysis-how we make general statements about the `phenomenon itself' from observed data. It will include likelihood functions, hypothesis testing, confidence intervals and ordinary linear regressionanalysis.
METHODS: The teaching method mainly involves classroom lectures where the instructor will explain intuitions and concepts with worked examples.

Assessment and permitted materials

Successful completion of this lecture-based course will be evaluated by two written exams about the topics discussed in the lecture, (i) midterm exam (40 %), (ii) a final exam to take place during the final session of the course (60 %).

Minimum requirements and assessment criteria

The examination for the lecture will be graded on a basis of 100 points in total:
[87%-100%]: Excellent (1)
[75%-86%]: Good (2)
[63%-74%]: Satisfactory (3)
[50%-62%]: Sufficient (4)
<50%: Unsatisfactory (5)

Examination topics

• Content of the lectures and suggested take-home exercises
• Assigned reading materials and book chapters

Reading list

Lindsey J.K. (2004). Introduction to Applied Statistics. A Modelling Approach. Oxford University Press, Second Edition
Statistical Methods for the Social Sciences (5th Edition), Agresti
Introductory Econometrics: A Modern Approach (5th ed.), JM Wooldridge
When necessary, other material will be indicated during the course.

Association in the course directory

Last modified: Fr 12.05.2023 00:20