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2012/2013  BA-STAT  Statistics

English Title

Course information

Language English
Exam ECTS 7.5 ECTS
Type Elective
Level Bachelor
Duration One Quarter
Course period Autumn
Changes may occur.
XA, mon 11.40-14.15, week 36-40,43-45. fri 11.40-13.20, week 36-42. and week 41, 8.00-11.30.
XB, tue 11.40-14.15, week 36-40,43-45. thur 11.40-13.20, week 36-42. and week 41, 13.30-17.00.
Time Table Please see course schedule at e-Campus
Max. participants 80
Study board
Study Board for BSc/MSc in Business Administration and Management Science, BSc
Course coordinator
  • Dorte Kronborg - Department of Finance
Main Category of the Course
  • Statistics and mathematics
Last updated on 19-03-2013
Learning objectives
The basic objective of this course is to familiarize the students with the principles of probability theory and statistics. The student will acquire knowledge about what statistics and probability are and expand their experience base by applying a variety of probability and statistical principles in exercises and case studies. The goal is to enable the students to interprete and understand basic statistical concepts as they apply in business, economics, different types of companies or institutions and industries.

Following the course the students can:
  • Identify key theories, models and concepts of probability and statistics.
  • Use graphical and numerical methods for exploring and summarizing data on a single categorical or quantitative variable.
  • Describe basic probability and how probability helps us understand randomness.
  • Choose and justify appropriate descriptive and inferential methods for examining and analyzing data and drawing conclusions.
  • Analyze the association between categorical, discrete, and continuous variables, using contingency tables, correlation, regressions, and analysis of variance.
  • Communicate the conclusions and interpretations of statistical analysis.
Type of test Written Exam
Marking scale 7-step scale
Second examiner No second examiner
Exam period Spring Term
Aids Open Book, Written and Electronic Aid is permitted
Duration 4 Hours
Course content

The course will, through lectures and exercises, cover:

  • Descriptive statistics, both numerical and graphical.
  • Statistical inference; estimator, confidence intervals and significance tests of hypotheses.
  • Analysis of contingency tables.
  • Regression analysis; simple, multiple and covariance analysis.
  • One-way and two-way analysis of variance.
Teaching methods
Lectures, exercises and computer classes.
Expected literature

Book: Agresti A., C. Franklin (2013): “Statistics: The Art and Science of Learning from Data”, Prentice Hall. Third Edition.
Supplementary notes

Last updated on 19-03-2013