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2023/2024  BA-BBLCU1226U  Quantitative Business Research

English Title
Quantitative Business Research

Course information
Language English
Course ECTS 7.5 ECTS
Type Mandatory (also offered as elective)
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 and MSc in Business, Language and Culture, BSc
Course coordinator
  • Christian Erik Kampmann - Department of Strategy and Innovation (SI)
Main academic disciplines
  • Statistics and quantitative methods
Teaching methods
  • Blended learning
Last updated on 29-06-2023

Relevant links
Learning objectives
  • Identify different types of quantitative data and explain basic methods of quantitative 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 in data, such as contingency tables, single and multiple regression, and analysis of variance, 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
  • Account for some inherent pitfalls and limitations in statistical analysis as it is done in practice and suggest ways such problems may be mitigated.
Prerequisites for registering for the exam (activities during the teaching period)
Number of compulsory activities which must be approved (see section 13 of the Programme Regulations): 3
Compulsory home assignments
During the semester there will be 5 mandatory quizzes where 3 of these must be completed on time and approved.

The quizzes must be submitted individually and they will be assessed (automatically) individually but students are allowed to work on them in groups.

The mandatory activities are a preparation for the final exam
Examination
Quantitative Business Research:
Exam ECTS 7,5
Examination form Written sit-in exam on CBS' computers
Individual or group exam Individual exam
Assignment type Written assignment
Duration 4 hours
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Summer and Summer
Aids Limited aids, see the list below:
The student is allowed to bring
  • An approved calculator. Only the models HP10bll+ or Texas BA ll Plus are allowed (both models are non-programmable, financial calculators).
  • In Paper format: Books (including translation dictionaries), compendiums and notes
The student will have access to
  • Access to Canvas
  • Advanced IT application package
Make-up exam/re-exam
Same examination form as the ordinary exam
The number of registered candidates for the make-up examination/re-take examination may warrant that it most appropriately be held as an oral examination. The programme office will inform the students if the make-up examination/re-take examination instead is held as an oral examination including a second examiner or external examiner.
If the make-up/re-take examination has a low number of registrants, it will be held as 20-minute oral examination with 20 minutes of preparation time.
Course content, structure and pedagogical approach

The course introduces you to basic quantitative business analysis and statistics. By emphasizing homework exercises with concrete examples of statistical analysis, general concepts and methodological issues, the pedagogy of the course is designed to make you an educated user of quantitative methods rather than a statistician.  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, single and multivariate regression analysis, analysis of variance, and problems with false positives in academic research.  Examples will be drawn from sustainability, business economics, and cultural and political analysis.
Description of the teaching methods
The course will combine lectures, video clips, and working on weekly problem sets in groups with instructor support ("study cafes"). Lectures are videotaped and vodcasted for later reviewing.
Feedback during the teaching period
During the course, students work in groups on weekly problem sets. Five of these problem sets will be combined with a mandatory quiz, automatically graded on Canvas. Problem sets and quizzes are key learning vehicles and sources of feedback. Office hours are another possibility for personal feedback.
Student workload
Attending lectures 40 hours
Attenting study cafes 30 hours
Written exam 4 hours
Additional work on problem set 20 hours
Home study 112 hours
Expected literature
  • Agresti, et al. (2018 / 2023) Statistics: The Art and Science of Learning from Data (4th / 5th global ed.). Pearson, ISBN 1-292-16477-8 / 1-292-44476-2.
  • Simmons et al. (2011) False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant. Psychological Science 20(10): 1-8.  (On Canvas)
  • Kampmann, C.E. (2018) Math refresher note.
  • Companion on-line and electronic material for the textbook (Supplementary)

  • On-line homework assignments, data sets, and mandatory quizzes.

  • Supplementary notes, instructional videos and misc. material, uploaded on Canvas.

  • JMP software

  • Microsoft Excel software

  • Microsoft Word software
Last updated on 29-06-2023