# 2023/2024

## Content, progress and pedagogy of the module

The module builds on the modules ‘Applied mathematics for business economists’ and ‘Applied statistics for business economists’. The module guides the student from descriptive statistics to statistical inference, where the student becomes able to perform business economic analyses by means of statistical models, hereunder conducting of hypothesis tests and regression analyses. This includes: selecting a statistical model, processing of data for the model, testing compliance with the assumptions behind the use of the model, critical interpretation of results and predictions based on the model.

### Learning objectives

#### Knowledge

The objective is that the student after the module possesses the necessary knowledge on:

• probability theory and hypothesis testing, including empirical and theoretical probability distribution.
• various statistical methods and models, including assumptions which must be met in order to apply these.
• the application of statistics in business economic and industrial context, including an interpretation of the results from statistical models.

#### Skills

The objective is that the student after the module possesses the necessary skills in:

•  applying hypothesis testing in connection with analysis of business economic data.
• argueing in favour of the choice of statistical model for implementation of a given business economic analysis, including conducting practical tests to fulfil the conditions (including the Gauss Markov Assumptions) for the application of the model.
• applying a given statistical model, including an interpretation of the results and predictions based on the model.

#### Competences

The objective is that the student after the module possesses the necessary competences in:

• evaluating the applicability of statistics and quantitative methods within business economics.
• independently conducting a critical interpretation and evaluation of own or others' application of quantitative methods within business economics, including in scientific literature.
• communicating the results of a statistical analysis to persons with no specific statistical knowledge.

### Type of instruction

For information see §17.

## Exam

### Prerequisite for enrollment for the exam

• A prerequisite for participating in the exam is that the student has participated actively in developing written material during the module

### Exams

 Name of exam Applied Quantitative Methods Type of exam Oral exam based on a project Group examination with max. 6 students. ECTS 5 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