eventStatistics I (lecture including exercise class) [Statistics I (lecture including exercise class)] (V)
person Jonas Dix, Boris Hirsch

Next appointment: 15. October at 12:15

Dates

weekly | Thursday | 12:15 - 13:45 | 12.10.2026 - 29.01.2027 | C HS 1 | Start 1. lecture week

Curriculum context

Written academic performance under supervision (90 Minutes)
Handwritten in examination rooms at Leuphana
Date of assessment: Thursday, 18.02.2027, 14:15, room C HS 1, C HS 2

Präsenzklausur


Resit date: : Keine selbständige Anmeldung zum Wiederholungstermin möglich. info_outline
Monday, 22.03.2027 - Saturday, 03.04.2027
Anzeige von Anmeldebeginn und -ende systembedingt. Selbständige Anmeldung nur zum Prüfungstermin und nicht zum Wiederholungstermin möglich.

Written academic performance under supervision (90 Minutes)
Handwritten in examination rooms at Leuphana
Date of assessment: Thursday, 18.02.2027, 14:15, room C HS 1, C HS 2

Präsenzklausur


Resit date: : Keine selbständige Anmeldung zum Wiederholungstermin möglich. info_outline
Monday, 22.03.2027 - Saturday, 03.04.2027
Anzeige von Anmeldebeginn und -ende systembedingt. Selbständige Anmeldung nur zum Prüfungstermin und nicht zum Wiederholungstermin möglich.

Organizational information

Lecture
Full presence
2
centralized lottery procedure with participant limit
300

Registration

centralized lottery procedure with participant limit

Die Anmeldung beginnt erst am 02.10.2026 um 08:00 Uhr. Sie endet am 12.10.2026 um 23:59 Uhr.

The registration is restricted to the following fields or courses of study:

  • Leuphana Bachelor / Major Economics / alle Semester
  • Leuphana Bachelor / Major International Business Administration & Entrepreneurship / alle Semester
  • Leuphana Bachelor / Major Studium Individuale / alle Semester
  • Leuphana Bachelor / Minor Studium Individuale / alle Semester

Content

Englisch
Statistics I (lecture including exercise class)
Guest auditor program

This course covers essential methods of descriptive and explorative statistics that are used to summarise data and reveal patterns in these.

Contents:
1. Introduction
2. Univariate descriptive statistics
3. Multivariate descriptive statistics
4. Outlook on inductive statistics

Students not only learn how to apply these methods appropriately, but also how to assess and scrutinise empirical analyses that use these methods.

Evaluation

This course has not been registered for teaching evaluation yet.

Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html

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