Syllabus

Title
0355 Statistics for Economics and Social Sciences with R
Instructors
Assoz.Prof PD Dr. Bettina Grün
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/14/20 to 09/20/20
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Dates
Day Date Time Room
Wednesday 10/07/20 02:00 PM - 04:00 PM LC.-1.038
Wednesday 10/14/20 02:00 PM - 04:00 PM LC.-1.038
Wednesday 10/21/20 12:00 PM - 02:00 PM LC.-1.038
Wednesday 10/28/20 02:00 PM - 04:00 PM LC.-1.038
Wednesday 11/04/20 05:00 PM - 07:00 PM LC.-1.038
Wednesday 11/11/20 02:00 PM - 04:00 PM LC.-1.038
Wednesday 11/18/20 02:00 PM - 04:00 PM Online-Einheit
Wednesday 11/25/20 02:00 PM - 04:00 PM Online-Einheit
Wednesday 12/02/20 12:00 PM - 02:00 PM Online-Einheit
Wednesday 12/09/20 02:00 PM - 04:00 PM Online-Einheit
Wednesday 12/16/20 02:00 PM - 04:00 PM Online-Einheit
Wednesday 01/13/21 02:00 PM - 04:00 PM Online-Einheit
Wednesday 01/20/21 02:00 PM - 04:00 PM Online-Einheit
Procedure for the course when limited activity on campus

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.

Contents

 

  • 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)

 

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.
Attendance requirements

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

Teaching/learning method(s)

    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).

      Assessment
      • 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.
      Availability of lecturer(s)

      bettina.gruen@wu.ac.at

      Last edited: 2020-07-19



      Back