[ 572MASTSTAK15 ] KS Introduction to Statistical Methods

Es ist eine neuere Version 2018W dieser LV im Curriculum Bachelor's programme Social Economics 2018W 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    
Tue06.03.201808:30 - 09:15S2 044Tutorium
Thu08.03.201812:00 - 12:45S2 054Tutorium
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Thu03.05.201812:00 - 12:45S2 054Tutorium
Tue08.05.201808:30 - 09:15S2 044Tutorium
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Thu17.05.201812:00 - 12:45S2 054Tutorium
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Tue29.05.201808:30 - 09:15S2 044Tutorium
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Thu07.06.201812:00 - 12:45S2 054Tutorium
Tue12.06.201808:30 - 09:15S2 044Tutorium
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Thu21.06.201812:00 - 12:45S2 054Tutorium
Fri22.06.201813:45 - 15:15HS 16Klausur (Hörsaal wird zugeteilt)
Fri22.06.201813:45 - 15:15HS 1Klausur (Hörsaal wird zugeteilt)
Mon25.06.201810:15 - 11:45HS 18Klausurnachbesprechung
Tue25.09.201815:30 - 17:00HS 1Nachklausur