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2020/2021  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
  • Selwyn Piramuthu - Department of International Economics, Goverment and Business (EGB)
For academic questions related to the course, please contact instructor Selwyn Piramuthu at spi.egb@cbs.dk
Main academic disciplines
  • Statistics and quantitative methods
  • Economics
Teaching methods
  • Online teaching
Last updated on 27/04/2021

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
Examination
Statistics and Data Analysis:
Exam ECTS 7.5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Please see text below
4 hour home assignment. No requirement for maximum number of pages.
Assignment type Written assignment
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Summer, Ordinary exam: 4-hour home assignment in the period of 26–30 July 2021
Retake exam: 4-hour home assignment in the period of 20 – 24 September 2021
3rd attempt (2nd retake) exam: 72-hour home assignment – 22 – 25 November 2021 – for all ISUP courses simultaneously.

Exam schedules available on https:/​/​www.cbs.dk/​uddannelse/​international-summer-university-programme-isup/​courses-and-exams
Make-up exam/re-exam
Same examination form as the ordinary exam
Retake exam: 4 hour home assignment, 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: Please read chapter1 of the course textbook before the course begins.
 

Class1: Introduction and course overview; Exploring data
Class 2: Gathering data
Class 3: Probability concepts
Class 4: Probability distributions
Class 5: Sampling distributions

Feedback activity: Homework midterm assessment (review) quiz via Learn.

Class 6: Confidence intervals
Class 7: Hypothesis testing
Class 8: Two group comparisons
Class 9: Association between categorical variables
Class 10: Regression Analysis
Class 11: Analysis of Variance (ANOVA)
Description of the teaching methods
This year all courses are taught digitally over the Internet. Instructors will apply direct/live teaching through a link (like Skype, Team, Zoom). In some courses, pre-recorded material will also be used.
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 classes. 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 in March 2021.
Expected literature

Mandatory readings:

 

Chapters 1-12 and 14 of the course textbook. Please read chapter1 before the course begins.

 

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 27/04/2021