# 2020/2021  BA-BINBO1139U  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 Business
Course coordinator
• Søren Feodor Nielsen - Department of Finance (FI)
Contact information: https:/​/​e-campus.dk/​studium/​kontakt
• Statistics and quantitative methods
Teaching methods
• Blended learning
Last updated on 09-06-2020

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 bringUSB key for uploading of notes, books and compendiums in a non-executable format (no applications, application fragments, IT tools etc.)Any calculatorIn Paper format: Books (including translation dictionaries), compendiums and notesThe student will have access toAccess to CanvasAccess to the personal drive (S-drive) on CBS´ networkAdvanced IT application packageRead more here : Exam aids and IT application packages 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. Description of the exam procedure
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
Lectures ( online), exercise classes and computer workshops on campus
Feedback during the teaching period
There will be weekly office hours. To provide feedback on the exam a solution will be made available.