2017/2018
BA-BPOLO2004U Statistics
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|
| Language |
English |
| Course ECTS |
7.5 ECTS |
| Type |
Mandatory |
| Level |
Bachelor |
| Duration |
One Semester |
| Start time of the course |
Spring |
| Timetable |
Course schedule will be posted at
calendar.cbs.dk |
| Study board |
Study Board for BSc/MSc i International Business and Politics,
BSc
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| Course
coordinator |
- Peter Dalgaard - Department of Finance (FI)
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| Main academic
disciplines |
- Statistics and quantitative methods
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Last updated on
22-06-2017
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| Learning objectives |
To achieve the grade 12, students should meet the
following learning objectives with no or only minor mistakes or
errors: The goal of the statistics course is to raise
methodological awareness and prepare students to compare
statistical approaches with different approaches later on. Students
should develop statistical literacy and the ability to think and
reason statistically. The student should become able to:
- 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, and explain the 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.
- Analyze of the association between variables, categorical,
continuous and both, using contingency tables, correlation, and
basic regression analysis.
- Communicate the conclusions of statistical analysis clearly and
effectively, i.e interpret the numerical results in terms of the
original research topic.
|
| Examination |
|
Statistics:
|
| Exam
ECTS |
7,5 |
| Examination form |
Oral exam based on written product
In order to participate in the oral exam, the written product
must be handed in before the oral exam; by the set deadline. The
grade is based on an overall assessment of the written product and
the individual oral performance. |
| Individual or group exam |
Individual oral exam based on written group
product |
| Number of people in the group |
3-5 |
| Size of written product |
Max. 15 pages |
|
You must apply for an exemption if you have
extenuating circumstances for wanting to write the exam in groups
with less than 3 students |
| Assignment type |
Written assignment |
| Duration |
Written product to be submitted on specified date and
time.
20 min. per student, including examiners' discussion of grade,
and informing plus explaining the grade |
| Grading scale |
7-step scale |
| Examiner(s) |
Internal examiner and external examiner |
| Exam period |
Summer |
| Make-up exam/re-exam |
Same examination form as the ordinary exam
Make-up/re-exam when ill at the oral
exam or when the ordinary exam is failed based on a submitted
assignment, is an individual oral exam (20 minutes per student)
based upon the same assignment. The assignment must be resubmitted.
Make-up exam when ill during the writing of the assignment or have
failed to submit an assignment is a 20 minutes oral exam with 20
minutes open book preparation in the entire
curriculum.
|
Description of the exam
procedure
During the oral exam the examination may involve questions from
the entire curriculum.
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|
| Course content and structure |
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Statistics is both a science in itself and a technology with
applications in almost every other branch of science. The
course emphasizes conceptual understanding rather than just
instrumental usage of statistical procedures. The focus is on
the interpretation and understanding of basic statistical
methods as applied in social sciences, business economy
and political economy.
The curriculum includes:
· Descriptive statistics, both numerical and graphical.
· The basic laws of probability, and the most important probability
distributions.
· Statistical inference; confidence intervals and significance
tests about hypotheses.
· Basic tests for means, proportions, and contingency tables.
· Simple regression analysis and basic multiple regression.
|
| Teaching methods |
| Lectures w/ discussions and exercises, computer
labs, groupwork for synopsis |
| Feedback during the teaching period |
There is no written feedback on the Exam
Assignment. Oral feedback is given after the exam as time permits.
We try to offer feedback in response to questions whenever feasible
within time constraints. The strongest (and bidirectional) feedback
mechanism for this course is probably the computer labs where
students can get help with operating statistical software and
interpreting the output.
Students are encouraged to take advantage of the ‘office hours’
offered by full-time staff members (in weeks where they teach),
although these can never be a substitute for participation in
lectures and classes. We also encourage students to ask questions
or make comments in class and form self-study groups to secure peer
feedback on your work.
|
| Student workload |
| Preparation time (readings, group work etc.) |
104 hours |
| Lectures / class exercises / “homework cafés” / workshops
etc. |
52 hours |
| Exam (incl. preparation for the exam and actual exam
period) |
50 hours |
|
| Expected literature |
|
Main book: Agresti A., C. Franklin (2013): “Statistics: The Art and
Science of Learning from Data”, 3rd. ed., Pearson. |
|
Software Package: SAS JMP
This is a sample of the literature that will be used. A
comprehensive reading list can be found in the course plan that
will be published on CBS Learn before classes
begin.
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Last updated on
22-06-2017
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