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2024/2025  BA-BIBAO2025U  Statistics and Quantitative Methods

English Title
Statistics and Quantitative Methods

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 in Business, Asian Language and Culture
Course coordinator
  • Yumi Park - Department of International Economics, Goverment and Business (EGB)
This course is taught by Yumi Park.
Main academic disciplines
  • Methodology and philosophy of science
  • Statistics and quantitative methods
Teaching methods
  • Online teaching
Last updated on 02-07-2024

Relevant links
Learning objectives
At the end of the course the students should be able to:
  • Understand and apply basic statistical concepts from probability and statistics.
  • Demonstrate critical assessment skills regarding measurement choices for important social, political, and business concepts.
  • Identify and evaluate the assumptions behind the statistical methods introduced in the course.
  • Discuss the fundamentals of statistical inference and carry out null hypothesis testing.
  • Apply multiple regression analysis to social science and business datasets (country and individual level) and interpret the specific results including coefficients, standard errors, p-values, etc.
  • Be able to use statistical software (R) to generate descriptive plots and statistical results relevant to objectives above. Provide thorough interpretation of the output from the software.
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): 1
Compulsory home assignments
Students are required to take and recommended to pass an individual written home assignment in the middle of the course.
If a student does not hand in or hands in a blank, the student cannot participate in the ordinary exam – not even if the student can document illness. Students who can document illness at the time of the hand-in will be offered a new deadline prior to the retake. If handed in, the student will be able to attend the retake exam.
Examination
Statistics and Quantitative Methods:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 10 pages
Assignment type Written assignment
Release of assignment The Assignment is released in Digital Exam (DE) at exam start
Duration 7 days to prepare
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
A new exam assignment must be answered. This applies to all students (failed, ill, or otherwise).
Course content, structure and pedagogical approach

In both business and public policy, the demand for "evidence" is stronger than ever. Managers and policymakers place an increasing premium on knowing "what works", when they decide in which direction to take the company or the country. Additionally, recent decades have seen an explosion of data availability. Combined with advances in causal inference, this puts social scientists in a better position to answer the demand for evidence than they have ever been.

 

This course provides an applied introduction to statistics that allows us not only to examine whether a strategy or policy "works", but also to quantify how much  they work. This is done through theoretical and applied knowledge about statistics, causal inference, and econometrics in business and social science at an introductory and intermediate level. On completion of the course, the student should be able to understand the methods introduced in the course and apply them to specific research problems. The course introduces students to causal inference, basic statistical analysis, and multiple regression analysis. 

 

Please note: This course uses an applied approach and thus we rely throughout the whole course and in the examination on software use (R). Beyond the software examples in the applied textbook, students will receive a thorough introduction to the software in the early stages of the course, early stage exercise supporting materials, and have the possibility to work on parallel homework tasks.

Description of the teaching methods
Lectures and exercise classes are conducted in a mix of online and on campus teaching.
Feedback during the teaching period
Research Methods II is a workshop-based course, and students will receive feedback continuously during workshop classes. Throughout the sessions, personal feedback is provided in-class by means of the exercise sessions.

Lectures are followed by exercise sessions. Here, students will be provided with feedback on the assignments they have prepared before the class meets. Workshop instructors will walk through the exercise with the students. Thereby all students will have the chance to receive feedback on their work by presenting it, and hearing the thoughts of the instructor and other students.

Besides this, students are welcome to make use of the instructors’ weekly office hours, where all aspects of the course can be discussed, and further individual feedback can be provided to students.
Student workload
Lectures 24 hours
Exercises 12 hours
Preparation for class (reading, exercises etc.) 160 hours
Exam 60 hours
Further Information

Please note that this course will be discontinued and run for the first last time in Spring 2026. The last exam will be offered in Summer 2027. See the program regulations for transition notes.

Expected literature

Kosuke, Imai (2017/2018). Quantitative Social Science: An Introduction. Princeton: Princeton University Press.

Last updated on 02-07-2024