Syllabus

Titel
0355 Statistics for Economics and Social Sciences with R
LV-Leiter/innen
Priv.Doz.Dr. Bettina Grün
Kontakt
  • LV-Typ
    PI
  • Semesterstunden
    2
  • Unterrichtssprache
    Englisch
Anmeldung
14.09.2020 bis 20.09.2020
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Bachelor
Termine
Wochentag Datum Uhrzeit Raum
Mittwoch 07.10.2020 14:00 - 16:00 LC.-1.038
Mittwoch 14.10.2020 14:00 - 16:00 LC.-1.038
Mittwoch 21.10.2020 12:00 - 14:00 LC.-1.038
Mittwoch 28.10.2020 14:00 - 16:00 LC.-1.038
Mittwoch 04.11.2020 17:00 - 19:00 LC.-1.038
Mittwoch 11.11.2020 14:00 - 16:00 LC.-1.038
Mittwoch 18.11.2020 14:00 - 16:00 Online-Einheit
Mittwoch 25.11.2020 14:00 - 16:00 Online-Einheit
Mittwoch 02.12.2020 12:00 - 14:00 Online-Einheit
Mittwoch 09.12.2020 14:00 - 16:00 Online-Einheit
Mittwoch 16.12.2020 14:00 - 16:00 Online-Einheit
Mittwoch 13.01.2021 14:00 - 16:00 Online-Einheit
Mittwoch 20.01.2021 14:00 - 16:00 Online-Einheit

Ablauf der LV bei eingeschränktem Campusbetrieb

In case of limited activity on campus the course will take place via Rotation Mode.

The students are divided into 2 groups. Each group only comes to the campus for half of the course dates, where the practical exercises are performed during the presence units. The relevant dates for the respective group will be announced.

The theoretical basics are repeated or worked out in advance by the students in self-study using the literature and videos provided.

The regulations regarding performance assessment remain largely unchanged. For the alternative process, these are:

  • No more than one absence without excuse.
  • Active participation in the computer exercises in the presence units (8 bonus points for participation possible).
  • Homework: 10 exercises (50 points, each exercise is worth 5 points).
  • Quizzes in the presence units with a total of 12 points. A maximum of 10 points will be scored.
  • Multiple choice final exam (20 points).
  • Of the 80 total points, at least 70% must be achieved for a positive grade.

The homework exercises are submitted online. The final exam takes place in the last presence unit on campus.

Inhalte der LV

 

  • Introduction to R
  • Descriptive statistics and visualizations:
  1. Measures of location (average, median, ...)
  2. Measures of dispersion (variance, standard deviation, ...)
  3. Histogram, density plot
  4. Bar plot, spine plot, mosaic plot
  5. Box plot
  6. Scatter plot
  7. Association (correlation, Pearson & Spearman)

 

  • Statistical inference:
  1. Chi-squared tests
  2. Confidence intervals
  3. Odds ratios
  4. (Binary) logistic regression
  5. Dummy variables for categorical predictors
  6. (Univariate) simple and multiple linear regression
  7. T-test and simple analysis of variance
  8. Mann-Whitney U-Test and Kruskal-Wallis H test
  9. Analysis of variance (ANOVA)

 

Lernergebnisse (Learning Outcomes)

In this course, you will learn basic statistical techniques widely used in econometrics and economics. All presented methods are illustrated with practical examples to provide you with the tools to carry out statistical analysis using the software R.

Regelung zur Anwesenheit

For this course participation is obligatory. Students are allowed to miss a maximum of 20% (no matter if excused or not excused).

Lehr-/Lerndesign

    The course is held weekly. The content is presented by the lecturer in theoretical units and illustrated with data sets. The performance of the students is assessed through various exercises and an exam (see Assessment).

      Leistung(en) für eine Beurteilung

      • No more than 2 absences without excuse.
      • Active participation in the computer exercises (8 bonus points for participation possible).
      • Homework: 10 exercises (50 points, each exercise is worth 5 points).
      • Quizzes: 5 best out 6 (10 points total, 2 points per quiz)
      • Multiple choice final exam (20 points).
      • Of the 80 total points, at least 70% must be achieved for a positive grade.

      Erreichbarkeit des/der Vortragenden

      bettina.gruen@wu.ac.at

      Zuletzt bearbeitet: 19.07.2020



      Zurück