Content, progress and pedagogy of the module

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.

Learning objectives

Knowledge

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.

Skills

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.

Competences

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.

Exam

Exams