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2019/2020  BA-BHAAI1080U  Statistics and Data Analysis

English Title
Statistics and Data Analysis

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 120
Study board
Study Board for BSc in Economics and Business Administration
Course coordinator
  • Course instructor: Professor Selwyn Piramuthu, Information Systems and Operations Management, University of Florida.
    Sven Bislev - Department of Management, Society and Communication (MSC)
For academic questions related to the course, please contact instructor Selwyn Piramuthu at selwyn@ufl.edu
Other academic questions: contact academic director Sven Bislev at sb.msc@cbs.dk
Main academic disciplines
  • Statistics and quantitative methods
  • Economics
Teaching methods
  • Face-to-face teaching
Last updated on 12/11/2019

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 design experiments that involve sampling and confidence interval estimation
  • 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
Statistics and Data Analysis:
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, Ordinary exam: 4 hour written exam in the period of 27–31 July 2020
Retake exam: 4 hour written exams in the period of 28 September–2 October 2020
3rd attempt (2nd retake) exam: 72-hour home assignment- 23-26 November 2020 – for all ISUP courses simultaneously

Exam schedules available on https:/​/​www.cbs.dk/​uddannelse/​international-summer-university-programme-isup/​courses-and-exams
Aids Closed book: no aids
However, at all written sit-in exams the student has access to the basic IT application package (Microsoft Office (minus Excel), digital pen and paper, 7-zip file manager, Adobe Acrobat, Texlive, VLC player, Windows Media Player), and the student is allowed to bring simple writing and drawing utensils (non-digital). PLEASE NOTE: Students are not allowed to communicate with others during the exam.
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.
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.


Preliminary assignment:
Class 1: Introduction and course overview; data description & representation
Class 2: Probability concepts
Class 3: Discrete probability distributions
Class 4: Continuous probability distributions
Class 5: Sampling methods and the Central Limit Theorem
Homework midterm assessment (review) quiz via Learn.
Class 6: Estimation and confidence intervals
Feedback activity:
Class 7: One-sample tests of hypothesis
Class 8: Two-sample tests of hypothesis
Class 9: Analysis of Variance (ANOVA)
Class 10: Correlation
Class 11: Linear regression
Description of the teaching methods
All teaching takes place on campus (notice that face-to-face teaching may include the use of online materials and tools
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 five class meetings. The assessment comprises questions in multiple choice and fill-in-the blank formats.
Student workload
Preliminary assignment 20 hours
Classroom attendance 33 hours
Preparation 126 hours
Feedback activity 7 hours
Examination 20 hours
Further Information
Preliminary Assignment: To help students get maximum value from ISUP courses, instructors provide a reading or a small number of readings or video clips to be read or viewed before the start of classes with a related task scheduled for class 1 in order to 'jump-start' the learning process.
Course timetable is 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 end March 2020.
Expected literature

Mandatory readings:


Chapters 1-13 of the course textbook. Please read Chapter 1 before the course begins.
Course textbook:
Authors: Doug Lind, Bill Marchal, Sam Wathen
Title: Statistical Techniques in Business & Economics (17th edition)
Publisher: McGraw-Hill
ISBN:  978-1-259-92180-3
Last updated on 12/11/2019