23-04.43.221 Statistics 2

Instructors: Eva Markowsky; Dr. Kristin Paetz

Event type: Lecture

Displayed in timetable as: 23-11-3a.sta2

Hours per week: 2

Credits: 3,0

Language of instruction: German

Min. | Max. participants: - | -

Registration group: Statistik 2

Comments/contents:
Please watch the video: https://lecture2go.uni-hamburg.de/l2go/-/get/v/Suy3p52
Passwort: StatistikMachtSpaß

A zoom event will take place on Monday, 06.04. at 12:15 to introduce the semester.
https://uni-hamburg.zoom.us/j/62154285230?pwd=akkveDN5NC9QbU4rUXB1WFZQMzFPZz09
Meeting-ID: 621 5428 5230
Code: 02738067

This is a digital course: all videos and documents are permanently available on www.openolat.de  (registered lecture participants have automatic access.) You can take this course completely asynchronously and do not have to adhere to the times specified in Stine. There are also exercises as a voluntary additional offer:
                                                                       
Wednesdays, Thursdays and Fridays at 12:15

We will solve exercises. If you do not want to attend, you have the solution available. Afterwards you can ask questions about all videos / exercises / organization, the questions do not have to be limited to the respective week.

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

• Point estimator
  
• Confidence Intervals (Interval Estimators)
  
• Hypothesis tests
  

Learning objectives:
The students

• can apply basic methods of inductive statistics and transfer them to topics of sociology and economics.
  
• are able to use the methods.
  
• are able to study the specialist literature independently by developing the terminology and to professionally and critically interpret research results with regard to the methods used and their assumptions.
  

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)