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2022/2023  BA-BISHO1005U  Statistics

English Title
Statistics

Course information
Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Quarter
Start time of the course First Quarter, Autumn
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc in International Shipping and Trade
Course coordinator
  • Søren Feodor Nielsen - Department of Finance (FI)
Contact information: https:/​/​e-campus.dk/​studium/​kontakt
Main academic disciplines
  • Statistics and quantitative methods
Teaching methods
  • Blended learning
Last updated on 01-07-2022

Relevant links
Learning objectives
The goal is to enable the students to interpret, understand and apply basic statistical concepts as they apply in scientific research as well as in everyday life.

The students will become familiar with basic probability theory as a model for randomness, concepts of statistical inference as well as a number of concrete estimators, confidence intervals and test. Statistical software will be introduced.

At the completion of this course the students will be able to:
  • Identify key theories, models and concepts of probability and statistics.
  • Use graphical and numerical methods for exploring and summarizing data on a single categorical or quantitative variable.
  • Describe basic probability and how probability helps us understand randomness in our lives, as well as grasp the crucial concept of a sampling distribution and how it relates to inference methods.
  • Choose and justify appropriate descriptive and inferential methods for examining and analyzing data and drawing conclusions.
  • Analysis of the association between categorical, discrete, and continuous variables, using contingency tables, correlation, regressions, and analysis of variance.
  • Communicate the conclusions of statistical analysis clearly and effectively, i.e identify connections between basic statistics and the real world.
Examination
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 Autumn
Aids Limited aids, see the list below:
The student is allowed to bring
  • USB key for uploading of notes, books and compendiums in a non-executable format (no applications, application fragments, IT tools etc.)
  • Any calculator
  • In Paper format: Books (including translation dictionaries), compendiums and notes
The student will have access to
  • Access to Canvas
  • Access to the personal drive (S-drive) on CBS´ network
  • Advanced 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.
Course content, structure and pedagogical approach

The major goal of the statistics course is to produce statistically educated students which mean that students should develop statistical literacy and the ability to think and reason statistically.

Statistics is a valuable tool in the practical application of every other science. Emphasis is on interpretation and understanding of simple statistical methods as applied in business, economics, different types of companies or institutions and industries.

The topics of the curriculum are:


a)The basic laws of probability and the most important probability distributions.

b) Descriptive statistics, both numerical and graphical.

c) Statistical inference; estimators, confidence intervals and significance tests of hypotheses.

d) One and two sample tests for means and proportions; paired and unpaired data.

e) Analysis of association using contingency tables and correlation.

f) Regression analysis; simple, multiple, logistic.

g) One-way and two-way analysis of variance, analysis of covariance.

 
Description of the teaching methods
Every two chapters in the textbook are followed by an online quiz, with 5-6 questions where the correct answer is provided once the student completes the quiz. The quizzes are randomized, thus allowing the student to take new quizzes in the same topics until the student feels that they master the material. Fourteen videos made by the lecturer are made available to the students during the course. + Thirteen of the videos details how to use the statistical software package JMP, one video explains the construction of the boxplot. The run-times of the videos vary from less than a minute to almost 9 minutes.
Feedback during the teaching period
Voluntary: Feedback is provided on quizzes in class + Feedback on homework is provided in the examples classes, where instructors go through the solutions to the homework and answer questions.
Student workload
Lectures 28 hours
Exercise classes 18 hours
Computer workshops 6 hours
Preparation 188 hours
exam+preparation 37 hours
Expected literature

Book: Agresti A., C. Franklin, B. Klingenberg (2017): “Statistics: The Art and Science of Learning from Data” (4th global ed), Prentice Hall; chapters 1-14.

Supplementary notes


Please note, minor changes might occur. The teacher will upload the final reading list to Learn two weeks before the course starts.
Last updated on 01-07-2022