| Learning objectives |
To achieve the grade 12, students should meet the
following learning objectives with no or only minor mistakes or
errors:
- Identify different types of quantitative data and explain basic
methods of quantitative data collection and experimental
design.
- Use and critically evaluate the use of graphics, tables, and
summary measures to illustrate relationships in data, appropriate
for the purpose at hand.
- Use elementary theory of probability and distributions to
calculate sample distributions and the probabilities of alternative
outcomes and make basic statistical inferences (tests) about
population characteristics from samples.
- Use and interpret the output of methods to statistically
analyze associations in data, such as contingency tables, single
and multiple regression, and analysis of variance, and recognize
common problems and limitations in such methods.
- When faced with a specific research question and available
data, select one or more appropriate statistical methods to address
the question, develop a structured and disciplined approach to
statistical analysis critically evaluate the results
- Account for some inherent pitfalls and limitations in
statistical analysis as it is done in practice and suggest ways
such problems may be mitigated.
|
| Examination |
|
Quantitative
Business Research:
|
| 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-step scale |
| Examiner(s) |
One internal examiner |
| Exam period |
Summer |
| 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.)
- Non-programmable, financial calculators: HP10bll+ or Texas BA
II Plus
- Books (including translation dictionaries), compendiums and
notes in paper format
The student will have access to - Access to CBSLearn
- Access to the personal drive (S-drive) on CBS´ network
- Advanced IT application package
At all written
sit-in exams the student has access to the basic IT application
package (Microsoft Office (minus Excel), digital pen and paper,
7-zip file manager, Adobe Acrobat, Texlive, VLC player, Windows
Media Player). PLEASE NOTE: Students are not allowed to communicate
with others during the exam :
Read more about exam aids and IT application
packages here |
| 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 |
|
This course introduces you to basic quantitative skills in
business analysis, including methods for presenting and
characterizing quantitative data, making inferences from data based
on the theory of probability and statistics, using data to assess
relationships and effects, recognizing potential weaknesses or
pitfalls in quantitative analysis, and using data for business
decision making. The purpose of the course is to make you an
educated user of quantitative methods by introducing you to the
main theoretical concepts and issues, rather than giving you an
extensive training in the underlying statistical theory. Topics
include: data representation and summary measures; exploratory data
analysis, data collection and basic experimental design;
probability theory and distributions, sampling distributions,
confidence intervals, significance tests, contingency tables and
Bayesian inference, analysis of proportions, single and
multivariate regression analysis, analysis of
variance.
|
| Teaching methods |
| The course will combine lectures, video clips,
and working on weekly problem sets in groups with instructor
support ("study cafés"). All lectures are videotaped and
vodcasted for later reviewing. Solutions to problem sets are
provided as videos. |
| Feedback during the teaching period |
| Feedback is given in two ways. Firstly, during
the course, students do home assignments where the solutions are
presented afterwards. in video format, including common mistakes we
observe. Secondly, after the exam, students are invited to a
feedback session. |
| Student workload |
| Lectures |
40 hours |
| Study cafés and mock exam |
33 hours |
| Exam |
4 hours |
| Home preparation |
148 hours |
| Total |
206 hours |
|
| Expected literature |
- Agresti, A.; Franklin, C. (2013et al. (2018) Statistics: The
Art and Science of Learning from Data (3rd international4th global
ed.),.). Pearson, ISBN 978-0-321-80754-4. 1-292-16477-8.
- [S]: Simmons et al. (2011) False-Positive Psychology:
Undisclosed Flexibility in Data Collection and Analysis Allows
Presenting Anything as Significant. Psychological Science 20(10):
1-8.
- Companion on-line and electronic material for the textbook
(Supplementary)
- On-line homework assignments and data sets, uploaded on
Learn.
- Supplementary notes, instructional videos and misc. material,
uploaded on Learn.
- JMP software (student license)
- Microsoft Excel and Word software
|
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