The goal of this module is to provide students with the quantitative knowledge in statistics which is necessary for a study in Economics and Business Administration. Economic procedures and coherences are documented with the help of data. The module has two primary goals: Firstly, after the module students should be able to prepare a data analysis. Secondly, they should be able to use statistics to evaluate case studies.
The course bases on a comprehensive script that will be distributed at the beginning of the course.
Supplementary and more advanced literature:
It may not necessarily pay off to look at the most recent editions. Older copies may be cheaper and more easily available.
The term statistics has two different word senses: On the one hand, it describes a collection of quan-titative information, such as unemployment statistics. On the other hand, statistics as a science deals with methods for the description and analysis of data. These methods are the topic of this course. The next two chapters start with descriptive statistics, the representation of data and relationships within the data. Chapters 4 to 7 treat the theoretical background for inferential statistics, i.e. for statistical conclusions on the basis of models (which are treated from Chapter 8 on). Since, in practice it is in many cases only a small (but daring?) step from description to inference, the distinction between descriptive and inductive statistics often seems artificial.
Prof. Uwe Hassler
Mr. Nguyen Thanh Liem
Type of Course
The module consists of lectures and exercises. Students will demonstrate proficiency in course material through exercises.
Certification of credits
Average of two written exams (Statistics 1: 60 minutes and Statistics 2: 120 minutes)