Inhalt

[ 572MASTSTAK15 ] KS Introduction to Statistical Methods

Versionsauswahl
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
Methods
  • 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
MuSSS
This course is additionally offered in the following versions:
 
MuSSS Linz    
MuSSS Linz 2018SS
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, available from course assignment    
Dates    
DayDateTimeRoomTopic
Tue06.03.201808:30 - 09:15S2 044Tutorium
Thu08.03.201812:00 - 12:45S2 054Tutorium
Tue13.03.201808:30 - 09:15S2 044Tutorium
Thu15.03.201812:00 - 12:45S2 054Tutorium
Tue20.03.201808:30 - 09:15S2 044Tutorium
Thu22.03.201812:00 - 12:45S2 054Tutorium
Tue10.04.201808:30 - 09:15S2 044Tutorium
Thu12.04.201812:00 - 12:45BA 9907Tutorium
Tue17.04.201808:30 - 09:15S2 044Tutorium
Thu19.04.201812:00 - 12:45S2 054Tutorium
Tue24.04.201808:30 - 09:15S2 044Tutorium
Thu26.04.201812:00 - 12:45S2 054Tutorium
Thu03.05.201812:00 - 12:45S2 054Tutorium
Tue08.05.201808:30 - 09:15S2 044Tutorium
Tue15.05.201808:30 - 09:15S2 044Tutorium
Thu17.05.201812:00 - 12:45S2 054Tutorium
Thu24.05.201812:00 - 12:45S2 054Tutorium
Tue29.05.201808:30 - 09:15S2 044Tutorium
Tue05.06.201808:30 - 09:15S2 044Tutorium
Thu07.06.201812:00 - 12:45S2 054Tutorium
Tue12.06.201808:30 - 09:15S2 044Tutorium
Tue19.06.201808:30 - 09:15S2 044Tutorium
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