Inhalt

[ 572MASTSTAK15 ] KS Introduction to Statistical Methods

Versionsauswahl
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
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 2020SS
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    
Dates    
DayDateTimeRoomTopic
Wed11.03.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 1-3 (alle Tutorien sind ein Angebot, keine Pflicht)
Wed18.03.202012:00 - 12:45MT 128Tutorium: Inhalt HÜ 7-9
Wed18.03.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 4-6
Wed25.03.202012:00 - 12:45MT 128Tutorium: Inhalt HÜ 10-12
Wed25.03.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 7-9
Wed01.04.202012:00 - 12:45MT 128Tutorium: Inhalt HÜ 13-15
Wed01.04.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 10-12
Wed22.04.202012:00 - 12:45MT 128Tutorium: Inhalt HÜ 16-18
Wed22.04.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 13-15
Wed29.04.202012:00 - 12:45MT 128Tutorium: Inhalt HÜ 19-21,via Zoom
Wed06.05.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 22-24, via Zoom v. 12.00 - 12.45 Uhr
Wed13.05.202012:00 - 12:45MT 128Tutorium: Inhalt HÜ 25-27, via Zoom
Wed20.05.202012:00 - 12:45MT 128Tutorium: Inhalt HÜ 28-30, via Zoom
Wed27.05.202012:00 - 12:45MT 128Tutorium: Inhalt HÜ 31-33, via Zoom
Wed03.06.202015:30 - 16:15HF 9904Tutorium: Inhalt HÜ 34-36, via Zoom v. 12.00 - 12.45 Uhr
Wed10.06.202012:00 - 12:45MT 128Tutorium: via Zoom
Wed17.06.202012:00 - 12:45MT 128
Wed17.06.202015:30 - 16:15HF 9904
Wed24.06.202012:00 - 12:45MT 128Fragestunde, via Zoom
Wed24.06.202015:30 - 16:15HF 9904Fragestunde, via Zoom
Fri26.06.202012:00 - 13:30HS 1Klausur (Hörsaal wird zugeteilt)
Fri26.06.202012:00 - 13:30HS 16Klausur (Hörsaal wird zugeteilt)
Tue29.09.202017:15 - 18:45HS 1Nachklausur