2014/2015
BA-BMATV1052U Statistics
|
|
| Language |
English |
| Course ECTS |
7.5 ECTS |
| Type |
Elective |
| Level |
Bachelor |
| Duration |
One Quarter |
| Course period |
Third Quarter |
| Timetable |
Course schedule will be posted at
calendar.cbs.dk |
| Max. participants |
80 |
| Study board |
Study Board for BSc/MSc in Business Administration and
Management Science, BSc
|
| Course
coordinator |
- Nina Breinegaard - Department of Finance
(FI)
|
| Main academic
disciplines |
- Statistics and mathematics
|
|
Last updated on
06-01-2015
|
| Learning objectives |
The basic objective of this course is
to familiarize the students with the principles of probability
theory and statistics. The student will acquire knowledge about
what statistics and probability are and expand their experience
base by applying a variety of probability and statistical
principles in exercises and case studies. The goal is to enable the
students to interprete and understand basic statistical concepts as
they apply in business, economics, different types of companies or
institutions and industries.
Following the course the students can:
- 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.
- Choose and justify appropriate descriptive and inferential
methods for examining and analyzing data and drawing
conclusions.
- Analyze the association between categorical, discrete, and
continuous variables, using contingency tables, correlation,
regressions, and analysis of variance.
- Communicate the conclusions and interpretations of statistical
analysis.
|
| Course prerequisites |
| None |
| Examination |
|
Statistics:
|
| Exam ECTS |
7,5 |
| Examination form |
Written sit-in exam |
| Individual or group exam |
Individual |
|
PC eksamen |
| Assignment type |
Written assignment |
| Duration |
4 hours |
| Grading scale |
7-step scale |
| Examiner(s) |
One internal examiner |
| Exam period |
Autumn Term |
| Aids allowed to bring to the exam |
Limited aids, see the list below and the exam
plan/guidelines for further information:
|
| 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 and
structure |
|
The course will, through lectures and exercises, cover:
- Descriptive statistics, both numerical and graphical.
- Statistical inference; estimator, confidence intervals and
significance tests of hypotheses.
- Analysis of contingency tables.
- Regression analysis; simple, multiple and covariance
analysis.
- One-way and two-way analysis of variance.
|
| Teaching methods |
| Lectures, exercises and computer
classes. |
| Expected literature |
|
Book: Agresti A., C. Franklin (2013): “Statistics: The Art and
Science of Learning from Data”, Prentice Hall. Third Edition.
Supplementary notes
|
Last updated on
06-01-2015
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