[ 572MASTSTAK15 ] KS Introduction to Statistical Methods

(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B1 - Bachelor's programme 1. year Statistics Andreas Quatember 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Business and Economics 2018W
Objectives Students will learn how to calculate simple statistics and how to analyse data regarding populations. They will acquire knowledge in inductive statistics, particularly its logical Background based on basic principles of probability theory.
Subject Base knowledge in descriptive statistics, probability theory and inductive statistics
Criteria for evaluation Homework assignments and a final examination
  • Lecture by instructor
  • Discussion of the homework assignments
  • Working with data using EXCEL
Language German
Study material Quatember, A. (2017). Statistik ohne Angst vor Formeln. 5. Auflage, Pearson, Hallbergmoos. (in German)
Changing subject? No
Further information In KUSSS students find EXCEL-Learning and simulation files and the collection of homework examples including the course rules
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority
This course is additionally offered in the following versions:
MuSSS Linz    
MuSSS Linz 2020WS
Number obligatory dates     0    
MuSSS assistance     Astrid Horejs    
Number participants (min/max)     25 / 200    
Course fee     € 36,00    
Online materials and media     Powerpoint slides with audio commentary, Exercises (compulsory and optional), Excel-learning-files. The accompanying Moodle-course can be found in JKU Moodle.    
Book from onlineshop     Statistik ohne Angst vor Formeln (fünfte Auflage 2017 - Quatember - Pearson Verlag), available at the price of € 24,95 at ÖH-Shop, available from course assignment    
Tue13.10.202012:00 - 12:45Zoom-Tutorium (alle Tutorien sind ein Angebot, keine Pflicht)
Wed14.10.202018:00 - 18:45Zoom-Tutorium
Tue20.10.202012:00 - 12:45Zoom-Tutorium
Wed21.10.202018:00 - 18:45Zoom-Tutorium
Tue27.10.202012:00 - 12:45Zoom-Tutorium
Wed28.10.202018:00 - 18:45Zoom-Tutorium
Tue10.11.202012:00 - 12:45Zoom-Tutorium
Wed11.11.202018:00 - 18:45Zoom-Tutorium
Tue17.11.202012:00 - 12:45Zoom-Tutorium
Wed18.11.202018:00 - 18:45Zoom-Tutorium
Tue24.11.202012:00 - 12:45Zoom-Tutorium
Wed25.11.202018:00 - 18:45Zoom-Tutorium
Tue01.12.202012:00 - 12:45Zoom-Tutorium
Wed02.12.202018:00 - 18:45Zoom-Tutorium
Wed09.12.202018:00 - 18:45Zoom-Tutorium
Tue15.12.202012:00 - 12:45Zoom-Tutorium
Wed16.12.202018:00 - 18:45Zoom-Tutorium
Tue12.01.202112:00 - 12:45Zoom-Tutorium
Wed13.01.202118:00 - 18:45Zoom-Tutorium
Tue19.01.202112:00 - 12:45Zoom-Tutorium
Wed20.01.202118:00 - 18:45Zoom-Tutorium
Tue26.01.202112:00 - 12:45Fragestunde zur Klausur (via Zoom)
Wed27.01.202118:00 - 18:45Fragestunde zur Klausur (via Zoom)
Fri29.01.202117:15 - 18:45Onlineklausur
Mon01.02.202110:15 - 11:00Zoom-Nachbesprechung der Klausurbeispiele
Wed24.02.202117:15 - 18:45Online - Nachklausur