[ 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    
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    
Wed04.03.202012:00 - 12:45S2 046Tutorium (alle Tutorien sind ein Angebot, keine Pflicht) Inhalt: HÜ 1-3
Wed11.03.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 4-6
Wed11.03.202015:30 - 16:15HS 14Tutorium: Inhalt HÜ 1-3
Wed18.03.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 7-9
Wed18.03.202015:30 - 16:15HS 14Tutorium: Inhalt HÜ 4-6
Wed25.03.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 10-12
Wed25.03.202015:30 - 16:15HS 14Tutorium: Inhalt HÜ 7-9
Wed01.04.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 13-15
Wed01.04.202015:30 - 16:15S3 057Tutorium: Inhalt HÜ 10-12
Wed22.04.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 16-18
Wed22.04.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 13-15
Wed29.04.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 19-21
Wed29.04.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 16-18
Wed06.05.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 19-21
Wed13.05.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 22-24
Wed13.05.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 22-24
Wed20.05.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 25-27
Wed27.05.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 28-30
Wed27.05.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 25-27
Wed03.06.202015:30 - 16:15HS 14Tutorium: Inhalt HÜ 28-30
Wed10.06.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 31-33
Wed10.06.202015:30 - 16:15HS 14Tutorium: Inhalt HÜ 31-33
Wed17.06.202012:00 - 12:45S2 046Tutorium: Inhalt HÜ 34-36
Wed17.06.202015:30 - 16:15HS 14Tutorium: Inhalt HÜ 34-36
Wed24.06.202012:00 - 12:45S2 046Fragestunde
Wed24.06.202015:30 - 16:15HF 9904Fragestunde
Fri26.06.202012:00 - 13:30HS 16Klausur (Hörsaal wird zugeteilt)
Fri26.06.202012:00 - 13:30HS 1Klausur (Hörsaal wird zugeteilt)
Tue29.09.202017:15 - 18:45HS 1Nachklausur