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2022/2023  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 25-11-2022

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
  • conduct one-sample and two-sample hypothesis tests
  • perform basic regression analysis
  • perform these analyses using STATA or R
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, Course and exam timetable is/will be available on https:/​/​www.cbs.dk/​uddannelse/​international-summer-university-programme-isup/​courses-and-exams
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 2nd retake: 72-hour home assignment, maximum 10 pages.
Description of the exam procedure

 

 
Course content, structure and pedagogical approach

This is an applied introductory statistics course with a focus on data analysis. We begin with the essential concepts that are necessary for understanding data analysis and that fall within the realm of descriptive statistics. During the first portion of the course, we will try to understand how we can accurately describe different types of data.

 

Next, we study probability, probablity distributions and sampling distribtions so that we can dive into the world of inferential statistics where we will learn ways to make desisions based on sample data. We cover confidence intervals, hypothesis testing, correlation, and an introcution to linear regression analysis. 

 

We will be implementing these concepts of data analysis using the software packages STATA and R.
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
Non-graded homework assignments will be assigned throughout the course. These will be a mixture of MyLab online assignments and data-based assignments requiring the use of software (Stata or R).

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. In addition, example of data analysis questions using software will also be provided.

Note that although this midterm assessment may include multiple choice questions, the final exam will not be multiple choice. However, the nature of the questions will be extremely similar.
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: The Nordic-9 pre-course is foundational for the summer university and identical for all bachelor courses. Students will receive an invitation with all details by the end of May. The assignment has two parts. 1.) online lectures and tutorials that student can access at their own time and 2.) one synchronous workshop which will be offered both online and in-person at several dates and times before the official start of the summer university courses. Sign-up is first come first serve. All students are expected to complete this assignment before classes begin.
 

 

 

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: 9781292164878

 

Note that I will be assigning homework using using MyLab. You will not be graded on these assignments, but they will allow you to test your knowledge. The ISBN above refers to the book that comes with a liscense to MyLab. Should you choose to buy, for instance, a used book, you will need to purchase the liscense separately.
Last updated on 25-11-2022