[ 572MASTSTAK15 ] KS Introduction to Statistical Methods

Es ist eine neuere Version 2018W dieser LV im Curriculum Bachelor's programme Business and Economics 2019W vorhanden.
(*) 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 2017W
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 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    
Number obligatory dates     0    
MuSSS assistance     Astrid Horejs-Kainrath    
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    
Tue05.03.201915:30 - 16:15S3 057Tutorium - keine Anwesenheitspflicht in den Tutorien
Thu07.03.201912:00 - 12:45K 009DTutorium
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Tue02.04.201915:30 - 16:15MT 226Tutorium
Thu04.04.201912:00 - 12:45K 009DTutorium
Tue09.04.201915:30 - 16:15S3 057Tutorium
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Thu02.05.201912:00 - 12:45K 009DTutorium
Tue07.05.201915:30 - 16:15S3 057Tutorium
Thu09.05.201912:00 - 12:45K 009DTutorium
Tue14.05.201915:30 - 16:15S3 057Tutorium
Thu16.05.201912:00 - 12:45K 009DTutorium
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Tue28.05.201915:30 - 16:15S3 057Tutorium
Tue04.06.201915:30 - 16:15S3 057Tutorium
Thu06.06.201912:00 - 12:45K 009DTutorium
Tue18.06.201915:30 - 16:15S3 057Fragestunde
Wed19.06.201915:30 - 17:00HS 4Klausur
Mon24.06.201910:15 - 11:45HS 18Nachbesprechung der Klausur
Tue01.10.201910:15 - 11:45HS 1Nachklausur