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2021/2022  BA-BHAAI1091U  Introduction to Business Statistics

English Title
Introduction to Business Statistics

Course information
Language English
Course ECTS 7.5 ECTS
Type Elective
Level Bachelor
Duration Summer
Start time of the course Summer
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 100
Study board
Study Board for BSc in Economics and Business Administration
Course coordinator
  • Moira Daly - Department of Economics (ECON)
Contact Moira Daly, moda.eco@cbs.dk, with questions
Main academic disciplines
  • Statistics and quantitative methods
  • Economics
Teaching methods
  • Face-to-face teaching
Last updated on 08-07-2022

Relevant links
Learning objectives
Upon successful completion of the course, the student should:
  • understand the essentials of data analysis
  • appreciate the significance of basic probability and statistics concepts
  • be able to conduct one-sample and two-sample hypothesis tests
  • understand analysis of variance and regression as well as the appropriateness of these methods for a given data analysis context.
Course prerequisites
A reasonable competence in math is necessary to follow the course
Examination
Introduction to Business 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 Summer
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
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.
Retake exam: 4 hour written sit-in exam, new exam question.
Exam form for 3rd attempt (2nd retake): 72-hour home project assignment, max. 10 pages..
Description of the exam procedure

 

 
Course content, structure and pedagogical approach

This is an introductory statistics course with a focus on data analysis. We begin with the essential concepts that are necessary for understanding data analysis, such as probability and their distributions. We then cover sampling, confidence intervals, hypothesis testing, analysis of variance, correlation, and linear regression analysis.

 
Topics that will be covered include probability concepts, probability distributions, sampling distributions, confidence intervals, hypothesis testing, two group comparisons, Regression Analysis and analysis of Variance (ANOVA).
Description of the teaching methods
Lectures and exercises. The class meetings are interactive and require ongoing engagement of the students.
Feedback during the teaching period
A midterm assessment will be administered via Canvas. The format will be similar to that of the 4-hour Ordinary Exam administered at the end of the course. Questions will be based on the concepts that are covered during the first part of the course. The assessment comprises questions in multiple choice and fill-in-the blank formats.
Student workload
Preliminary assignment 20 hours
Classroom attendance 38 hours
Preparation 121 hours
Feedback activity 7 hours
Examination 20 hours
Further Information
Ordinary 6 weeks course
 
Preliminary Assignment: A generic test/assignment will be developed concerning “Nordic Nine”. It will be uploaded on Canvas at the end of May. Students are expected to access this assignment before classes begin. The assignment will not be reviewed in classes.
 

Course and exam timetable is/will be available on https://www.cbs.dk/uddannelse/international-summer-university-programme-isup/courses-and-exams

 

We reserve the right to cancel the course if we do not get enough applications. This will be communicated on https://www.cbs.dk/uddannelse/international-summer-university-programme-isup/courses-and-exams in start March.
Expected literature

Indicative course textbook: 
Authors: Alan Agresti, Christine Franklin, Bernhard Klingenberg, Michael Posner
Statistics – The Art and Science of Learning from Data (4th edition; Global edition)
Publisher: Pearson
ISBN: 978-1-292-16477-9
Last updated on 08-07-2022