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2025/2026  BA-BMAKO1041U  Statistics

English Title
Statistics

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 Service and Markets
Course coordinator
  • Jan Michael Bauer - Department of Management, Society and Communication (MSC)
Main academic disciplines
  • Statistics and quantitative methods
Teaching methods
  • Blended learning
Last updated on 26-06-2025

Relevant links
Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors:
  • display an understanding of statistical terminology, processes and theories
  • understand simple mathematical notation to read and express statistical problems
  • inspect, manipulate and analyze data using statistical software
  • independently conduct and justify statistical analyses for given data
  • critically reflect on statistical analyses and communicate their results in clear language
Examination
Statistics:
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 Winter
Aids Open book: all written and electronic aids, including internet access
Read more here about which exam aids the students are allowed to bring and will be given access to : Exam aids and 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.
Description of the exam procedure

In case of an oral retake examination, it will be held as a 20-minute oral exam without preparation including examiner's discussion of grade, and informing plus explaining the grade.

 
Course content, structure and pedagogical approach

This course provides an amicable introduction to the core concepts of statistics. Focusing on understanding and application, this course is accessible to students without a strong mathematical background. Starting from the basics of understanding and describing quantitative information and probabilities, the course will cover the essential aspects of statistics, such as sampling theory, statistical inference, and null-hypothesis testing. Students will learn to use analytical software and acquire the ability to answer quantitative research questions using the appropriate techniques. Methods of analysis are oriented towards consumer research and include the study of group differences, relationships, and multivariate analyses. Strengthening skills to read, evaluate, and communicate the results of statistical analyses will enhance students' ability to use quantitative data in a meaningful way. Students will become familiar with the use of basic mathematical notations and learn to solve simple problem sets linked to statistical questions.
Research-based teaching
CBS’ programmes and teaching are research-based. The following types of research-based knowledge and research-like activities are included in this course:
Research-based knowledge
  • Classic and basic theory
  • Teacher’s own research
  • Methodology
  • Models
Research-like activities
  • Analysis
  • Discussion, critical reflection, modelling
Description of the teaching methods
The course will combine on-campus lectures and online material with supervised on-campus and online exercises. Blended learning elements will be used to foster student engagement and provide learning feedback. With its focus on application and basic understanding, methods will be taught hands-on using software in class and exercises. Students will receive an introduction to the use of the software R in dedicated workshops. Participants are expected to actively engage with the problem-solving exercises within class and at home, and pre-class preparation by reading the respective texts and following the online materials. Continuous assessment will support student learning and guide their progress towards mastering the learning objectives.
Feedback during the teaching period
Student receive feedback through exercises and dedicated blended learning elements.
Student workload
Lectures + Exercise (online/campus) 42 hours
Supervised sessions + workshops (campus) 17 hours
Preparation 143 hours
Exam 4 hours
Expected literature

Statistics: The Art and Science of Learning from Data, Global Edition

by Alan Agresti & Christine A. Franklin & Bernhard Klingenberg

4th Edition, Pearson Education Limited 2018, ISBN: 9781292164779
Last updated on 26-06-2025