Business Statistics

2018-2019

Course Objective

ACADEMIC AND RESEARCH SKILLS – STUDENTS CAN CONDUCT A BASIC
INTERNATIONAL RESEARCH PROJECT FROM START TO FINISH
Academic Skills (three As)
After successfully completing this course, the student:
• can perform key statistical operations.
Research Skills
After successfully completing this course, the student:
• can solve real-world problems by using mathematical techniques.

BRIDGING THEORY AND PRACTICE
KNOWLEDGE: Demonstrates theoretical and empirical knowledge concerning
the relevant areas in international business administration
After successfully completing this course, the student:
• can select and apply the right statistical technique, specifically:
• properly use statistical notation (both passively and actively);
• calculate elementary probabilities;
• model events with the Bernoulli distribution, the binomial, uniform
and normal distribution;
• calculate and interpret descriptive statistics (mean, median,
variance, correlation coefficient, skewness, proportion, etc.);
• use the concepts population, sample and sample variation;
• calculate confidence intervals (for the mean, proportion and
variance);
• distinguish statistical and practical significance;
• perform one sample tests (for mean, median, proportion and variance);
• perform two sample test (for mean, median, proportion and variance);
• create contingency tables and perform a chi-square test;
• perform multiple regression (including tests, confidence intervals and
dummy’s);
• perform one way ANOVA (including post-hoc-analysis);
• choose the right test for a given problem;
• visualize data and relationships;
• use the program SPSS for the above topics.

APPLICATION: Can propose a solution to an international real-life
business problem by applying relevant theories and methodologies.
After successfully completing this course, the student, is able:
• can read and write texts in which statistics occurs;
• can use standard software for solving statistical problems.

Course Content

International business administration is a subject in which data is of
prime interest. You can have great ideas on the impact of advertisement
on sales, or of bonus wages on employer’s performance, but the ultimate
test is not the theory, but always the empirical data. These data,
however, are often not fully conclusive. Sales go up on some days, but
they go down on other days. Other factors make that what we see is
noisy. Statistics helps you to make sense out of data. Further, today’s
analyses require basic skills in setting up and handling spreadsheets
and visualizing data. This course therefore also addresses such general
skills.

Teaching Methods

Lectures
Tutorials

Method of Assessment

Interim assessments (Digital exams) - Individual assessment
Final exam - Individual assessment
Mandatory attendance and evaluation of participation in tutorials -
Individual assessment

Entry Requirements

n/a

Literature

Doane, David P., and Lori E. Seward (2015), Applied Statistics in
Business & Economics, fifth Edition, McGraw-Hill
Additional documents via Canvas.

Additional Information

You will work with the software packages IBM SPSS Statistics and Excel.
These programs are available on computers at the VU campus. You may wish
to purchases a cheap license for home use at http://www.surfspot.nl/. At
the intermediate tests we use the English language versions for Windows.

Recommended background knowledge

1.1 Business Mathematics
1.3 Academic Skills

General Information

Course Code E_IBA1_BS
Credits 6 EC
Period P4
Course Level 100
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. R. Heijungs
Examiner dr. R. Heijungs
Teaching Staff A. Borowska
M. Li

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Study Group, Lecture
Target audiences

This course is also available as: