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2015/2016  BA-BPSYO1524U  Quantitative Business Research

English Title
Quantitative Business Research

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc/MSc in Business Administration and Psychology, BSc
Course coordinator
  • Christian Erik Kampmann - Department of Innovation and Organizational Economics (INO)
The course is expected to be offered jointly with the B.Sc. in Business Language and Culture (BLC)
Main academic disciplines
  • Statistics and quantitative methods
Last updated on 11-05-2015
Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors: Identify different types of quantitative data and explain basic methods of data collection and experimental design
  • Use and critically evaluate the use of graphics, tables, and summary measures to illustrate relationships in data, appropriate for the purpose at hand
  • Use elementary theory of probability and distributions to calculate sample distributions and the probabilities of alternative outcomes and make basic statistical inferences (tests) about population characteristics from samples
  • Use and interpret the output of methods to statistically analyze associations, such as contingency tables and single and multiple regression and recognize common problems and limitations in such methods
  • When faced with a specific research question and available data, select one or more appropriate statistical methods to address the question, develop a structured and disciplined approach to statistical analysis critically evaluate the results
Examination
Kvantitativ Metode:
Exam ECTS 7,5
Examination form Written sit-in exam
Individual or group exam Individual
Assignment type Written assignment
Duration 4 hours
Grading scale 7-step scale
Examiner(s) One internal examiner
Exam period Summer and Summer
Aids allowed to bring to the exam Limited aids, see the list below:
  • Written sit-in-exam with pen and paper
  • Written sit-in-exam on CBS' computers
  • Books and compendia brought by the examinee
  • Allowed dictionaries
  • Allowed calculators
  • Notes in paper format brought by the examinee
  • Access to personal drive (S-drive) on CBS' network
  • USB key to upload your notes before the exam
  • Access to all information on CBSLearn
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.
Description of the exam procedure

You may turn in computer-printed or hand-written pages in any combination.

Course content and structure

This course introduces you to basic quantitative skills in business analysis, including methods for presenting and characterizing quantitative data, making inferences from data based on the theory of probability and statistics, using data to assess relationships and effects, recognizing potential weaknesses or pitfalls in quantitative analysis, and using data for business decision making. The purpose of the course is to make you an educated user of quantitative methods by introducing you to the main theoretical concepts and issues, rather than giving you an extensive training in the underlying statistical theory. Topics include: data representation and summary measures; exploratory data analysis, data collection and basic experimental design; probability theory and distributions, sampling distributions, confidence intervals, significance tests, contingency tables and Bayesian inference, analysis of proportions, and single and multivariate regression analysis.

Teaching methods
In the course, we will combine a number of different learning formats. We will make extensive use of video recordings of short lectures on particular theoretical subjects that you can view at home in conjunction with your reading and problem solving. Plenary lectures will be highly interactive; theory lectures will focus on interactions to help you understand the theoretical concepts and principles; application lectures will focus on how to apply the theories and methods to concrete problems. There will be a weekly problem set which you are strongly encouraged to complete, preferably in study groups. Weekly tutorial sessions give you an opportunity to work on the problem sets with teacher assistance. Teaching will emphasize real-world data examples and conceptual understanding rather than detailed knowledge of procedures and theories.
Student workload
Attending lectures 40 hours
Attending tutorials 20 hours
Written exam and feedback 6 hours
Homework and reading 159 hours
Expected literature
  • Michael Barrow, Statistics for Economics, Accounting and Business Studies, 6e, Pearson Education, 2014, with online course material access.  ISBN: 9780273788508
  • Video lectures, uploaded on Learn

  • On-line datasets and problem sets

  • Supplementary notes/articles

  • Microsoft Excel software (for descriptive data analysis).

  • JMP statistical software (CBS student license)

Last updated on 11-05-2015