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Quantitative Methods

Module name (EN):
Name of module in study programme. It should be precise and clear.
Quantitative Methods
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
International Management, Master, ASPO 01.10.2020
Module code: MAIM-152
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P420-0309
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
6
Semester: 1
Mandatory course: yes
Language of instruction:
English
Assessment:
Written exam (120 minutes / can be repeated semesterly)

[updated 30.01.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MAIM-152 (P420-0309) International Management, Master, ASPO 01.10.2020 , semester 1, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 180 hours (equivalent to 6 ECTS credits).
There are therefore 135 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
MAIM-311 Seminar International Management
MAIM-322 International Management Workshop


[updated 30.01.2020]
Module coordinator:
Prof. Dr. Teresa Melo
Lecturer:
Prof. Dr. Teresa Melo


[updated 30.01.2020]
Learning outcomes:
Sub-topic "International Market Research and Analysis":
After successfully completing this sub-module students will be able:
- to analyze a company’s information requirements for a defined transnational problem and conceive a data collection design based upon this,
- to transfer questions from the field of market research to different cultures,
- to take a critical look at transnational data and attribute an appropriately high value to the ethical requirements of  international market research.  
 
  
Sub-topic "Business Analytics":
After successfully completing this sub-module students will be able:
 
- to explain the importance of random sampling and recommend a random sampling method to create representative samples,
- to determine an adequate sample size,
- to estimate characteristics of a population by calculating suitable sample statistics,
- to estimate the accuracy of sample statistics by calculating confidence intervals,
- to develop and test hypotheses to assess the impact of changes on an entire population or estimate differences between populations,
- to quantify the evidence in favor of or against an hypothesis in order to make managerial decisions,
- to identify and critically discuss the limits of the statistical methods used,
- to prepare and carry out a computer-aided data analysis, and interpret the results obtained.
 


[updated 15.01.2020]
Module content:
Sub-topic "International Market Research and Analysis":
- Design international market research studies (questions, survey design, scales of measurement and culturespecific response behavior)
- Challenges in executing and evaluating international market research studies (data comparability, interpretation spaces, data consolidation, and loss of information)
- Problems and error sources in international data acquisition and evaluations
 
  
Sub-topic "Business Analytics":
- Random sampling and sampling methods
- Sampling statistics
- General concepts of point estimation and properties of point estimators
- Sampling distributions (basic terms, sampling distribution of the sample mean and the sample proportion)
- Sampling distributions when the population is finite
- Basic concepts of interval estimation
- Confidence interval for the population mean and the population proportion
- Basic concepts of hypothesis testing
- Hypothesis tests involving a sample mean or sample proportion
- Relationship between hypothesis testing and interval estimation
- The p-value approach to hypothesis testing
- Chi-square applications
- Statistical software (e. g.  Excel Data Analysis Toolbox, SPSS)
 


[updated 15.01.2020]
Teaching methods/Media:
The lectures are supported by slides (beamer) and blackboard (theory and examples).
  
The sub-topic “Business Analytics” will also include exercises. In order to support independent work, exercise sheets will be made available. These will cover the wide application spectrum of the methods taught. The solutions will be discussed with the students subsequently (in part with statistics software). The lecture, as well as the exercises will be available to the students in electronic form.


[updated 15.12.2019]
Recommended or required reading:
Sub-topic "International Market Research and Analysis":
Birn, R.J.: The Handbook of International Market Research Techniques, latest edition, Kogan Page
Craig, S.C., Douglas, S.P.: International Market Research, John Wiley & Sons, latest ed.
Field, A.: Discovering Statistics Using IBM SPSS Statistics, latest edition, Sage
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., and Tatham, R.L.: Multivariate Analysis, latest edition, Pearson
Kumar, V.: International Marketing Research, Prentice Hall, latest edition
Malthotra, N.H.: Marketing Research – An Applied Orientation (latest (global) edition), Pearson
  
Sub-topic "Business Analytics":
Bowerman, O’Connell, Murphree: Business Statistics in Practice, international edition, 6th edition, McGraw-Hill/Irvin, 2011
OpenStax College: Introductory Business Statistics, OpenStax CNX, https://openstax.org/details/books/introductory-business-statistics, 2019
Sharpe, De Veaux, Velleman: Business Statistics, 3rd edition, Pearson, 2015
Sweeney, Williams, Anderson: Fundamentals of Business Statistics, international edition, 6th edition, Cengage Learning Emea, 2011
Weiers: Introductory Business Statistics, international edition, 7th edition, Cengage Learning Emea, 2011


[updated 15.01.2020]
[Fri Dec  2 10:19:51 CET 2022, CKEY=iqma, BKEY=imm4, CID=MAIM-152, LANGUAGE=en, DATE=02.12.2022]