Business Statistcs

 

Are online auctions which end on Sunday evening more profitable than others? According to history, is a country hosting the FIFA World Football Championship more likely to win the trophy compared to others? How does the CV of an applicant influence his final loan?

To answer questions like these, we have to handle substantial amounts of data. Business Statistics gives you tools, techniques and methods, which helps you to process, summarize, analyze and interpret data for the purpose of making better decisions in a given environment. After finishing this course you will have encountered  a range of statistical techniques gain into a wide range of problems.

 
 
    Course Concept
     
    Course Overview
     
Lecture:   Prof. Dr. Sadrieh
     
    Thursday, 17:00 - 19:00, G22A - H2
     
    Lecture Plan (preliminary)
     
    Chapter 1
    Chapter 2a, Chapter 2b
    Chapter 3a, Chapter 3b
    Chapter 4
    Chapter 5
    Chapter 6
    Chapter 7a, Chapter 7b
    Chapter 8
    Chapter 9a, Chapter 9b
    Chapter 10
    Chapter 11
    Chapter 12
    Chapter 13a, Chapter 13b
    Chapter 14
    Chapter 15
    Chapter 16
    Chapter 19
    An extension to regression analysis
     
    Short Script (with preliminary relevance indications)
     
Classroom Tutorial:   Slides - classroom tutorial I
    Summary - classroom tutorial I
    Data set - classroom tutorial I and II (old excel version)
    Solution - classroom tutorial I
    Slides - classroom tutorial II
    Summary - classroom tutorial II
    Solution - classroom tutorial II
    Online test: after applying an additional bonus due to technical problems, the average score is 53%.
     
     
Videos:   Mann-Whitney-U test
    Wilcoxon Signed-Ranks test
    Rank-order Correlation
    Chi-square test of Independence
    Chi-square Goodness of Fit test
    Multiple Regression
     
Tutorial:   Dipl.-Kfm. Daniel Cracau
     
    Changes in the Tutorial Schedule!
    Tutorials are held weekly now:
    Tuesday, 17:00 - 19:00, G05 - H4
   

Thursday, 11:00 - 13:00, G152-1.01

(Brandenburger Str. 9a, room is not on the main campus!)

     
    Tutorial Plan (t.b.a.)
    Tutorial 1 / Solution 1
    Tutorial 2 / Solution 2a / Solution 2b
    Tutorial 3 / Solution 3
    Tutorial 4 / Solution 4
    Additional Tutorial
    Practice exam last year
    Practice exam / Solution
     
    z-table
    t-table
    Chi²-table
    F-table
     
Materials