23-04.42.222 Statistics 1

Instructors: Eva Markowsky

Event type: Lecture

Displayed in timetable as: 23-11-3a.sta1

Hours per week: 4

Credits: 6,0

Language of instruction: German

Min. | Max. participants: - | -

Registration group: Statistik 1

Comments/contents:
The basic statistics module consists of the courses Statistics 1 (4 SWS) and Statistics 2 (2 SWS). The contents build on each other. The contents (6 SWS) are examined in an exam. The courses run one after the other: first statistics 1 over the first 2/3 of the semester with 6 hours per week (2/3 * 6 = 4), then statistics 2 over the last 1/3 of the semester with 6 hours per week (1/3 * 6 = 2). Please register for Statistics 2 (same time schedule) as well.

Content      

•    The role of statistics in the social and economic sciences
  
•     Basic concepts and classification of features
  
•     Relative and absolute (total) frequency
  
•     Measures of location and dispersion
  
•     Graphic display options
  
•     Joint and conditional frequency distribution
  
•     Correlation
  
•     Simple linear regression
  
•     The concept of probability
  
•     Random variables
  
•     Special discrete and continuous distributions (including binomial distribution and normal distribution)
  

Learning objectives:
The students

• can apply basic methods of descriptive statistics and transfer them to topics of sociology and economics.
  
• are able to use the methods.
  
• understand how probabilities are determined and when they are only approximate.
  
• are able to calculate probabilities for random variables.
  
• can recognize special distributions and are able to use them.
  

Didactic concept:
In the course, the methods are first motivated by a concrete question and explained by example. The procedure (variables and formulae) is then generalised so that the method can also be applied to other contexts.
The examples tie in with previous knowledge, so that the methods can be partly worked out by the students themselves. Small exercises are also calculated in the lecture. Each lecture starts with repeating the new material covered in the previous course.

In addition, weekly tutorials (2 hours per week) are offered, in which exercises are calculated and discussed.

The course material is made available completely and exclusively on the Internet portal OpenOLAT.
 

Literature:
Fahrmeir, L., Heumann, C., Künstler, R., Pigeot, I., Tutz, G. (aktuellste Auflage): Statistik, Springer
Wewel, M.C. (aktuellste Auflage): Statistik im Bachelor-Studium der BWL und VWL, Pearson Studium
Schira, J. (aktuellste Auflage): Statistische Methoden in der VWL und BWL, Pearson Studium

Additional examination information:
Module examination in the form of an exam! This means that there is no "individual test" for statistic 1 (as well as for statistic 2). These two subjects are examined together in ONE exam. (Exception old examination regulations)