Introduction to Statistics

Brigitte Krenn
Arts and Society, Cross-Disciplinary Strategies
2024S, Vorlesung und Übungen (VU), 2.0 ECTS, 2.0 semester hours, course number S04473


Students will be taught how empirical studies can be understood, discussed and criticized. Students will be introduced to the basics of descriptive and inferential statistics by implementing and evaluating their own empirical study. For this purpose, students will build upon their work from the 1st part of this course in the previous Winter Semester where they developed self-completion questionnaires, with timely data collections so that the course participants have their data collected until the beginning of the Summer Semester.

Students will learn how to prepare data-masks and data entries, and how to analyse and interpret data. (For data analysis the statistic software SPSS will be used. SPSS is a widely used program for statistical analysis in social science, in market and health research, and other areas of statistical data analysis.

Summing up, the content of the Summer Semester will be:

- Data handling, data mask, data entry

- Electronically supported data analysis (important statistical characteristics and representation forms, filter setting, classification, recoding of variables, correlation and reliability analysis, indexing, diversity tests, etc.) We will use SPSS.

- Interpretation of the results

Examination Modalities

For the successful participation of the course, the following criteria must be fulfilled:

- regular attendance (at least 80%);

- timely completion of the assignments and exercises provided throughout the course;

- timely submission of final paper covering the analysis and interpretation of one's own data set

Deadlines to hand in your final paper:

1st deadline: 12 July 2024

2nd deadline: 7 October 2024

3rd deadline: 28 Nov 2024



Note: The course builds upon results from the course "Introduction to Statistics" held during the previous Winter Semester. Students who have completed the Winter Semester course will be the main target of this course. They will work on their own data sets resulting from the Winter Semester course.

SPSS: Students will require a personal SPSS student license. Information on how to get a license will be given in the first class.

"Students from CDS who did not attend the previous course and from other faculties or universities will receive a place on the course subject to room capacities."


06 March 2024, 12:45–15:15 CDS Lecture Room
13 March 2024, 12:45–15:15 CDS Lecture Room
10 April 2024, 12:45–15:15 CDS Lecture Room
24 April 2024, 12:45–15:15 CDS Lecture Room
08 May 2024, 12:45–15:15 CDS Lecture Room
15 May 2024, 12:45–15:15 CDS Lecture Room
29 May 2024, 12:45–15:15 CDS Lecture Room
05 June 2024, 12:45–15:15 CDS Lecture Room
12 June 2024, 12:45–15:15 Seminar Room 30
19 June 2024, 12:45–15:15 Seminar Room 30

Course Enrolment

From 05 February 2024, 00:00 to 29 March 2024, 00:00
Via online registration

Cross-Disciplinary Strategies (Master): Study Areas 1-3: Study Area 2: Science and Technology 569/020.02

Cross-Disciplinary Strategies (Bachelor): Science and Technology: Foundation: Statistics 700/002.12

Co-registration: possible

Attending individual courses: possible