[ 572MASTSTAK15 ] KS Introduction to Statistical Methods
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Es ist eine neuere Version 2018W dieser LV im Curriculum Bachelor's programme Business and Economics 2019W vorhanden. |
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(*) Unfortunately this information is not available in english. |
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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 |
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Detailed information |
Pre-requisites |
(*)keine
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Original study plan |
Bachelor's programme Business and Economics 2016W |
Objectives |
Students will learn how to independently calculate simple statistics and how to analyse data regarding populations. They will acquire knowledge in inductive statistics, particularly its logical background.
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Subject |
Base knowledge in descriptive statistics, probability theory and inductive statistics
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Criteria for evaluation |
Homework assignments and a final examination
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Methods |
- Lecture by instructor
- Discussion of the homework assignments
- Independent data work using EXCEL
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Language |
German |
Study material |
Quatember, A. (2014). Statistik ohne Angst vor Formeln. 4rd edition, Pearson Studium, München. (in German)
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Changing subject? |
No |
Further information |
The EXCEL-learning file to independently learn data analysis using EXCEL will be provided in 2 versions: Office from 2007 on, OpenOffice
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Earlier variants |
They also cover the requirements of the curriculum (from - to) 1MSTK: KS Introduction to Statistical Methods (2007W-2015S)
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On-site course |
Maximum number of participants |
200 |
Assignment procedure |
Assignment according to priority |
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This course is additionally offered in the following versions: |
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MuSSS Linz 2022WS |
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Number obligatory dates |
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0 |
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MuSSS assistance |
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Astrid Horejs |
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Number participants (min/max) |
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25 /
200 |
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Course fee |
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€ 36,00 |
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Online materials and media |
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Powerpoint slides with audio commentary, Exercises (compulsory and optional), Excel-learning-files. The accompanying Moodle-course can be found in JKU Moodle. |
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Book from onlineshop |
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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 |
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Dates |
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Day | Date | Time | Room | Topic |
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Wed | 12.10.2022 | 18:00 - 18:45 | -- | Zoom - Tutorium (Alle Tutorien sind ein Angebot, keine Pflicht) | Wed | 19.10.2022 | 18:00 - 18:45 | -- | Zoom - Tutorium | Tue | 25.10.2022 | 18:00 - 18:45 | -- | Zoom - Tutorium (ausnahmsweise Dienstag) | Wed | 02.11.2022 | 18:00 - 18:45 | -- | Zoom - Tutorium | Wed | 09.11.2022 | 18:00 - 18:45 | -- | Zoom - Tutorium | Wed | 16.11.2022 | 18:00 - 18:45 | -- | Zoom - Tutorium | Wed | 23.11.2022 | 18:00 - 18:45 | -- | Zoom - Tutorium | Wed | 30.11.2022 | 18:00 - 18:45 | -- | Zoom - Tutorium | Wed | 07.12.2022 | 18:00 - 18:45 | -- | Zoom - Tutorium | Wed | 14.12.2022 | 18:00 - 18:45 | -- | Zoom - Tutorium | Wed | 11.01.2023 | 18:00 - 18:45 | -- | Zoom - Tutorium | Wed | 18.01.2023 | 18:00 - 18:45 | -- | Zoom - Tutorium | Wed | 25.01.2023 | 18:00 - 18:45 | -- | Fragestunde zur Klausur (via Zoom) | Fri | 27.01.2023 | 15:30 - 17:00 | HS 1 | Klausur (Hörsaal wird zugeteilt) | Fri | 27.01.2023 | 15:30 - 17:00 | HS 2 | Klausur (Hörsaal wird zugeteilt) | Fri | 27.01.2023 | 15:30 - 17:00 | HS 7 | Klausur (Hörsaal wird zugeteilt) | Wed | 01.02.2023 | 18:00 - 18:45 | -- | Nachbesprechung der Klausur (via Zoom) | Tue | 28.02.2023 | 13:45 - 15:15 | HS 1 | Nachklausur | |
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