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2014/2015  BA-BSEMO1005U  Method ll. Statistics and quantitative methods

English Title
Method ll. Statistics and quantitative methods

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Quarter
Course period Third Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc in Service Management
Course coordinator
  • Per Vejrup-Hansen - Department of Innovation and Organizational Economics (INO)
Main academic disciplines
  • Statistics and mathematics
Last updated on 15-08-2014
Learning objectives
Through this course the students should be able to:
  • Explain different kinds of measurement of characteristics (types of variables), and sampling biases.
  • Explain and discuss the concept of probability, and relate to measures of critical value, confidence interval and p-value. Understand the concept of inference.
  • Based on these concepts and measures, perform appropriate tests about means and proportions
  • Perform tests about the association between two categorical variables (for example gender and preferences).
  • Explain and illustrate the concept of correlation between numerical variables, and compute a correlation coefficient
  • Explain the logic of regression analysis and explain the difference between correlation and regression analyses. Formulate and discuss adequate regression models for explaining phenomena.
  • Perform linear and non-linear regression analysis, and further multivariate regression including categorical (dummy) variables as explanatory variables. Interpret regression coefficients (through standard errors, p-values etc.) and the determination coefficient R2, and investigate residuals.
Course prerequisites
Students not enrolled in BSc in Business Administration & Service Management must document a level in English equal to TOEFL 575, and A level in mathematics equal to Danish level B
Methods II. Statistics and quantitative methods:
Exam ECTS 7,5
Examination form Written sit-in exam
Individual or group exam Individual
Exam guidelines:
• The written exam takes place on CBS computers
• Graphs can be written by hand
• Students have access to their personal files (S-drive on CBS network)
• Students do NOT have access to Internet, LEARN, and other services from CBS (except their personal S-drive on CBS network)
• Students are not allowed to bring personal electronic devices to the exam, except a non-programmable calculator.
• Re-take examinations and make-up examinations are subject to the same regulations as the ones noted above
Assignment type Written assignment
Duration 4 hours
Grading scale 7-step scale
Examiner(s) Internal examiner and second internal examiner
Exam period Spring Term
Aids allowed to bring to the exam Limited aids, see the list below and the exam plan/guidelines for further information:
  • Additional allowed aids
  • Allowed calculators
  • Allowed dictionaries
  • Books and compendia brought by the examinee
  • Notes brought by the examinee
Make-up exam/re-exam
Same examination form as the ordinary exam
If the number of registered candidates for the make-up examination/re-take examination warrants that it may most appropriately be held as an oral examination, the programme office will inform the students that the make-up examination/re-take examination will be held as an oral examination instead.
Course content and structure

The course address established statistical methods for representing and analyzing quantitativedata, primarily survey data. The focus is on application of methods.
Students will learn how phenomena are measured statistically and what kind of conclusions statistical research can lead to.
Also, students will learn how to perform these analyses. The statistical software is Microsoft Excel which allows for basic analyses and understanding, and Excel is common software readily available.

Main modules composing the course are:

• Probability
• Hypothesis tests about means and proportions

  • Test about the association between categorical variables

• Correlation Analysis
• Regression Analysis (the most extensive topic)

Teaching methods
Lectures, workshops, and homework exercises.
Student workload
Classes 30 hours
Reading and homework exercises 130 hours
Attending workshops 10 hours
Preparation for written exam 55 hours
Expected literature
  • Alan Agresti and Christine Franklin: ‘Statistics. The Art and Science of learning from Data’, 3rd Edition. Pearson Education International. Chapters 1, 3, 4, and 6-13. Exclusive of sections 4.3 and 6.3. Section 13.6 is summary reading. 420 pages
  • Per Vejrup-Hansen: 'Excel for Statistics. How to Organize Data'. Samfundslitteratur 2013. 80 pages

Please note, minor changes may occur. The teacher will upload the final reading list to LEARN two weeks before the course starts.

Last updated on 15-08-2014