311.992 (22S) Methodology 2: Statistics, Group B
Overview
For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
- Lecturer
- 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
- Language of instruction Englisch
- Course begins on 03.03.2022
- eLearning Go to Moodle course
Time and place
Course Information
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
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, 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
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 schemePosition 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
-
5.2 Methoden II: Statistik (
0.0h KS / 2.0 ECTS)
-
Subject: Methoden der Sozial- und Wirtschaftswissenschaften
(Compulsory subject)
- 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)
-
§9(1) Statistik für Wirtschaftswissenschaften (
1.0h KS / 2.0 ECTS)
-
Subject: Mathematik und Statistik für Wirschaftswissenschaften
(Compulsory subject)
- 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
-
5.1.2 Statistik für Wirtschaftswissenschaften (
0.0h KS / 2.0 ECTS)
-
Subject: Wahlfach Mathematik und Statistik (ABWL)
(Compulsory elective)
- 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
-
7.1.2 Statistik (
0.0h KS / 2.0 ECTS)
-
Subject: Mathematik und Statistik (Betriebswirtschaft)
(Compulsory elective)
- 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)
-
1.2.2 Wirtschaftsstatistik (
0.0h KU / 2.0 ECTS)
-
Subject: Wahlfach Mathematik und Statistik (ABWL)
(Compulsory elective)
- 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
-
7.2 Methodology 2 (
0.0h KS / 2.0 ECTS)
-
Subject: Methodology in Business and Economics Research
(Compulsory subject)
Equivalent courses for counting the examination attempts
- Sommersemester 2024
- Wintersemester 2023/24
- Sommersemester 2023
- Wintersemester 2022/23
- Sommersemester 2022
- Wintersemester 2021/22
- Sommersemester 2021
- Wintersemester 2020/21
-
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
-
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)