NL | EN

2019-2020

### Course Objective

ACADEMIC AND RESEARCH SKILLS – STUDENTS CAN CONDUCT A BASIC
INTERNATIONAL RESEARCH PROJECT FROM START TO FINISH
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 statistical techniques.

BRIDGING THEORY AND PRACTICE
KNOWLEDGE: Demonstrates theoretical and empirical knowledge concerning
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;
• using software (R/RStudio/Excel) 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 (R/RStudio/Excel) for solving statistical
problems.

### Course Content

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
Computer tutorials

### Method of Assessment

Digital exams – individual assessment
Written exam – individual assessment
Surprise questions – individual assessment
Attendance and participation – individual assessment

n/a

### Literature

Doane, David P., and Lori E. Seward (2015/2019), Applied Statistics in
Business & Economics, fifth/sixth Edition, McGraw-Hill

You will work with R/RStudio and Excel. These programs are available on
Excel a cheap license for home use may be obtained from
http://www.surfspot.nl/. At the digital exams we use the English
language versions for Windows.

### General Information

Course Code E_IBA1_BS 6 EC P4 100 English School of Business and Economics dr. R. Heijungs dr. R. Heijungs 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: