The module in the quantitative method includes descriptive statistics, probability theory, stochastic variables and their distributions, sampling, estimation, hypothesis testing and comparisons of two populations, variance analysis, simple and multiple linear regression and logistic regression. Initially, the theories of these topics are taught, and afterwards students will practice their skills through exercises. This is supplemented further with a series of lectures focusing on the practical application of statistics in relation to business economics issues. The themes which are taught focus on how companies and organisations interact with and influence their surroundings.
The student must through the module obtain knowledge about:
Acquiring theoretical knowledge of statistics, including descriptive statistics, probability theory, distributions, sampling, regression analysis, uncertainty and interpretation of their own results and those of others.
Acquiring knowledge of applied statistics.
Identifying knowledge of statistical software to be able to perform statistical analyses.
The student must through the module obtain skills in:
Applying the statistical model concept in such a way that they are able, independently and in groups, to formulate and conduct quantitative analyses.
Applying it-based tools to perform statistical analysis.
The student must through the module obtain competences to:
Identifying, formulating and analysing business economics issues using quantitative analyses.
Conducting critical interpretation and evaluation of their own methods, data and results and those of others in the context of quantitative analysis.
|Name of exam||Quantitative Method|
|Type of exam|
All written and all electronic aids
|Assessment||7-point grading scale|
|Type of grading||Internal examination|
|Criteria of assessment||The criteria of assessment are stated in the Examination Policies and Procedures|
|Danish title||Kvantitativ metode|
|Language of instruction||English|
|Location of the lecture||Campus Aalborg|
|Responsible for the module|
|Study Board||Study Board of Economics and Business Administration|
|Department||AAU Business School|
|Faculty||Faculty of Social Sciences and Humanities|