311.992 (22S) Methodology 2: Statistics, Group B

Sommersemester 2022

Registration deadline has expired.

First course session
03.03.2022 15:00 - 16:00 On Campus

... no further dates known

Overview

Due to the COVID-19 pandemic, it may be necessary to make changes to courses and examinations at short notice (e.g. cancellation of attendance-based courses and switching to online examinations).

For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.

Lecturer

Postdoc-Ass. Dr. Ercan Sönmez, M.Sc.

Course title german

Methodology 2: Statistics, Group B

Type

Course (continuous assessment course )

Course model

Attendance-based course

Hours per Week

1.0

ECTS credits

2.0

Registrations

28 (40 max.)

Organisational unit

Institut für Statistik

Language of instruction

English

Course begins on

03.03.2022

eLearning

Go to Moodle course

Time and place

Please note that the currently displayed dates may be subject to change due to COVID-19 measures.

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Intended learning outcomes

More and more data is becoming available in all areas of Business and Economics; one of its use-cases is to build and back hypotheses such as purchase decisions by customers. Transforming data into scientific theories requires tools which are known as statistical methods.

"Methodology 2: Statistics" aims at providing a fundamental knowledge about these tools by analyzing univariate and multivariate data sets. Examples are
- descriptive statistics
- estimation, prediction, and testing of proportions and means
- analysis of variance
- contingency tables
- linear regression

The lecture is accompanied by a KS with the same name, in which exercises and case studies will be solved by the students using the statistical software R.

Teaching methodology

Lectures with active and passive parts, accompanied by eLearning-material. Individual practice through exercises, case studies, and quizzes.

Course content

- data, variables, frequencies
- descriptive statistics
- estimating, predicting, and testing of proportions
- estimating, predicting, and testing of means
- comparison of means
- analysis of variance (ANOVA)
- contingency tables and chi-square-test
- linear regression

Prior knowledge expected

basic mathematical and statistical knowledge at high-school level, in particular:
- basic arithmetic
- elementary probability calculus and probability distributions (binomial and normal distribution)
- successful completion of "Methodology 1: Mathematics" highly recommended

Curricular registration requirements

Please combine with "VO Methodology 2: Statistics"

Intended learning outcomes

"Methodology 2: Statistics" aims at providing a fundamental knowledge about these tools by analyzing univariate and multivariate data sets. Examples are descriptive statistics, estimation, prediction, and testing of proportions and means, analysis of variance, contingency tables, linear regression, and model selection.

The lecture is accompanied by a KS with the same name, in which exercises and case studies will be solved by the students using the statistical software R.

Teaching methodology

Lectures with active and passive parts, accompanied by eLearning material. Individual practice through exercises, case studies, and quizzes.

Course content

data, variables, frequencies
descriptive statistics
estimating, predicting, and testing of proportions
estimating, predicting, and testing of means
comparison of means
analysis of variance (ANOVA)
contingency tables and chi-square-test
linear regression

Prior knowledge expected

basic mathematical and statistical knowledge at high-school level, in particular:

basic arithmetic
elementary probability calculus and probability distributions (binomial and normal distribution)
successful completion of "Methodology 1: Mathematics" highly recommended

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

German
English

Examination methodology

"crossing system"

Examination topic(s)

Solving the posed tasks with the methods that are presented in the course and using the software (R)

Assessment criteria / Standards of assessment for examinations

Final grade is due to: number of crosses + evaluation of presented exercises

Since the students will be graded during the course, students can unsubscribe without being graded only until inclusively 18.03.2022

Examination methodology

"crossing system"

Examination topic(s)

Solving the posed tasks with the methods that are presented in the course and using the software (R)

Assessment criteria / Standards of assessment for examinations

Final grade is due to: number of crosses + evaluation of presented exercises

Since the students will be graded during the course, students can unsubscribe without being graded only until inclusively 18.03.2022

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

Bachelor's degree programme Business Administration (SKZ: 518, Version: 18W.1)
- Subject: Methoden der Sozial- und Wirtschaftswissenschaften (Compulsory subject)
  - 5.2 Methoden II: Statistik ( 0.0h KS / 2.0 ECTS)
    - 311.992 Methodology 2: Statistics, Group B (1.0h KS / 2.0 ECTS)
      Absolvierung im 1., 2., 3. Semester empfohlen

Bachelor's degree programme Applied Business Administration (SKZ: 518, Version: 14W.3)
- Subject: Mathematik und Statistik für Wirschaftswissenschaften (Compulsory subject)
  - §9(1) Statistik für Wirtschaftswissenschaften ( 1.0h KS / 2.0 ECTS)
    - 311.992 Methodology 2: Statistics, Group B (1.0h KS / 2.0 ECTS)

Bachelor's degree programme Information Management (SKZ: 522, Version: 17W.1)
- Subject: Wahlfach Mathematik und Statistik (ABWL) (Compulsory elective)
  - 5.1.2 Statistik für Wirtschaftswissenschaften ( 0.0h KS / 2.0 ECTS)
    - 311.992 Methodology 2: Statistics, Group B (1.0h KS / 2.0 ECTS)
      Absolvierung im 2. Semester empfohlen

Bachelor's degree programme Management Information Systems (SKZ: 522, Version: 20W.2)
- Subject: Mathematik und Statistik (Betriebswirtschaft) (Compulsory elective)
  - 7.1.2 Statistik ( 0.0h KS / 2.0 ECTS)
    - 311.992 Methodology 2: Statistics, Group B (1.0h KS / 2.0 ECTS)
      Absolvierung im 2. Semester empfohlen

Bachelor's degree programme Information Management (SKZ: 522, Version: 12W.1)
- Subject: Wahlfach Mathematik und Statistik (ABWL) (Compulsory elective)
  - 1.2.2 Wirtschaftsstatistik ( 0.0h KU / 2.0 ECTS)
    - 311.992 Methodology 2: Statistics, Group B (1.0h KS / 2.0 ECTS)

Bachelor's degree programme International Business and Economics (SKZ: 516, Version: 19W.1)
- Subject: Methodology in Business and Economics Research (Compulsory subject)
  - 7.2 Methodology 2 ( 0.0h KS / 2.0 ECTS)
    - 311.992 Methodology 2: Statistics, Group B (1.0h KS / 2.0 ECTS)
      Absolvierung im 1., 2., 3. Semester empfohlen

Equivalent courses for counting the examination attempts

Sommersemester 2024

311.991 KS Methodology 2: Statistics, Group A (1.0h / 2.0ECTS)
311.992 KS Methodology 2: Statistics, Group B (1.0h / 2.0ECTS)
311.993 KS Methodology 2: Statistics, Group C (1.0h / 2.0ECTS)

Wintersemester 2023/24

311.971 KS Methoden II: Statistik, Gruppe A (1.0h / 2.0ECTS)
311.972 KS Methoden II: Statistik, Gruppe B (1.0h / 2.0ECTS)
311.973 KS Methoden II: Statistik, Gruppe C (1.0h / 2.0ECTS)
311.974 KS Methoden II: Statistik, Gruppe D (1.0h / 2.0ECTS)

Sommersemester 2023

311.991 KS Methodology 2: Statistics, Group A (1.0h / 2.0ECTS)
311.992 KS Methodology 2: Statistics, Group B (1.0h / 2.0ECTS)
311.993 KS Methodology 2: Statistics, Group C (1.0h / 2.0ECTS)

Wintersemester 2022/23

311.971 KS Methoden II: Statistik, Gruppe A (1.0h / 2.0ECTS)
311.972 KS Methoden II: Statistik, Gruppe B (1.0h / 2.0ECTS)
311.973 KS Methoden II: Statistik, Gruppe C (1.0h / 2.0ECTS)
311.974 KS Methoden II: Statistik, Gruppe D (1.0h / 2.0ECTS)

Sommersemester 2022

311.991 KS Methodology 2: Statistics, Group A (1.0h / 2.0ECTS)
311.993 KS Methodology 2: Statistics, Group C (1.0h / 2.0ECTS)

Wintersemester 2021/22

311.971 KS Methoden II: Statistik, Gruppe A (1.0h / 2.0ECTS)
311.972 KS Methoden II: Statistik, Gruppe B (1.0h / 2.0ECTS)
311.973 KS Methoden II: Statistik, Gruppe C (1.0h / 2.0ECTS)

Sommersemester 2021

311.971 KS Methoden II: Statistik, Gruppe A (1.0h / 2.0ECTS)
311.972 KS Methoden II: Statistik, Gruppe B (1.0h / 2.0ECTS)
311.973 KS Methoden II: Statistik, Gruppe C (1.0h / 2.0ECTS)
311.974 KS Methoden II: Statistik, Gruppe D (1.0h / 2.0ECTS)

Wintersemester 2020/21

311.991 KS Methodology 2: Statistics, Group A (1.0h / 2.0ECTS)
311.992 KS Methodology 2: Statistics, Group B (1.0h / 2.0ECTS)

Sommersemester 2020

311.971 KS Methoden II: Statistik, Gruppe A (1.0h / 2.0ECTS)
311.972 KS Methoden II: Statistik, Gruppe B (1.0h / 2.0ECTS)
311.973 KS Methoden II: Statistik, Gruppe C (1.0h / 2.0ECTS)
311.974 KS Methoden II: Statistik, Gruppe D (1.0h / 2.0ECTS)
311.975 KS Methoden II: Statistik, Gruppe E (1.0h / 2.0ECTS)
311.976 KS Methoden II: Statistik, Gruppe F (1.0h / 2.0ECTS)

Wintersemester 2019/20

311.991 KS Methodology 2: Statistics, Group A (1.0h / 2.0ECTS)
311.992 KS Methodology 2: Statistics, Group B (1.0h / 2.0ECTS)

Sommersemester 2019

311.971 KS Statistik für Wirtschaftswissenschaften, Gruppe A (1.0h / 2.0ECTS)
311.972 KS Statistik für Wirtschaftswissenschaften, Gruppe B (1.0h / 2.0ECTS)
311.973 KS Statistik für Wirtschaftswissenschaften, Gruppe C (1.0h / 2.0ECTS)
311.974 KS Statistik für Wirtschaftswissenschaften, Gruppe D (1.0h / 2.0ECTS)
311.975 KS Statistik für Wirtschaftswissenschaften, Gruppe E (1.0h / 2.0ECTS)
311.976 KS Statistik für Wirtschaftswissenschaften, Gruppe F (1.0h / 2.0ECTS)

Sommersemester 2018

311.971 KS Statistik für Wirtschaftswissenschaften, Gruppe A (1.0h / 2.0ECTS)
311.972 KS Statistik für Wirtschaftswissenschaften, Gruppe B (1.0h / 2.0ECTS)
311.973 KS Statistik für Wirtschaftswissenschaften, Gruppe C (1.0h / 2.0ECTS)
311.974 KS Statistik für Wirtschaftswissenschaften, Gruppe D (1.0h / 2.0ECTS)
311.975 KS Statistik für Wirtschaftswissenschaften, Gruppe E (1.0h / 2.0ECTS)
311.976 KS Statistik für Wirtschaftswissenschaften, Gruppe F (1.0h / 2.0ECTS)

Sommersemester 2017

311.971 KS Statistik für Wirtschaftswissenschaften, Gruppe A (1.0h / 2.0ECTS)
311.972 KS Statistik für Wirtschaftswissenschaften, Gruppe B (1.0h / 2.0ECTS)
311.973 KS Statistik für Wirtschaftswissenschaften, Gruppe C (1.0h / 2.0ECTS)
311.974 KS Statistik für Wirtschaftswissenschaften, Gruppe D (1.0h / 2.0ECTS)
311.975 KS Statistik für Wirtschaftswissenschaften, Gruppe E (1.0h / 2.0ECTS)
311.976 KS Statistik für Wirtschaftswissenschaften, Gruppe F (1.0h / 2.0ECTS)

Sommersemester 2016

311.971 KS Statistik für Wirtschaftswissenschaften, Gruppe A (1.0h / 2.0ECTS)
311.972 KS Statistik für Wirtschaftswissenschaften, Gruppe B (1.0h / 2.0ECTS)
311.973 KS Statistik für Wirtschaftswissenschaften, Gruppe C (1.0h / 2.0ECTS)
311.974 KS Statistik für Wirtschaftswissenschaften, Gruppe D (1.0h / 2.0ECTS)
311.975 KS Statistik für Wirtschaftswissenschaften, Gruppe E (1.0h / 2.0ECTS)
311.976 KS Statistik für Wirtschaftswissenschaften, Gruppe F (1.0h / 2.0ECTS)

Sommersemester 2015

311.971 KU Statistik für Wirtschaftswissenschaften, Gruppe A (1.0h / 2.0ECTS)
311.972 KU Statistik für Wirtschaftswissenschaften, Gruppe B (1.0h / 2.0ECTS)
311.973 KU Statistik für Wirtschaftswissenschaften, Gruppe C (1.0h / 2.0ECTS)
311.974 KU Statistik für Wirtschaftswissenschaften, Gruppe D (1.0h / 2.0ECTS)
311.975 KU Statistik für Wirtschaftswissenschaften, Gruppe E (1.0h / 2.0ECTS)
311.976 KU Statistik für Wirtschaftswissenschaften, Gruppe F (1.0h / 2.0ECTS)