2013/2014
BA-HAS_MIIS Method ll. Statistics and quantitative
methods (for students enrolled in 2013)
English Title |
Method ll. Statistics and
quantitative methods (for students enrolled in
2013) |
|
Language |
English |
Exam ECTS |
7.5 ECTS |
Type |
Mandatory |
Level |
Bachelor |
Duration |
One Quarter |
Course period |
Third Quarter |
Time Table |
Please see course schedule at e-Campus |
Study board |
Study Board for BSc in Service
Management
|
Course
coordinator |
- Per Vejrup-Hansen - Department of Innovation and Organizational
Economics (INO)
|
Main academic
disciplines |
- Statistics and mathematics
|
Last updated on
02/04/2014
|
Learning objectives |
Through this course the students
should be able to:
- Explain different kinds of measurement of characteristics
(types of variables), and sampling biases.
- Explain and discuss the concept of probability, and relate to
measures of critical value, confidence interval and p-value.
Understand the concept of inference.
- Based on these concepts and measures, perform appropriate tests
about means and proportions
- Perform tests about the association between two categorical
variables (for example gender and preferences).
- Explain and illustrate the concept of correlation between
numerical variables, and compute a correlation coefficient
- Explain the logic of regression analysis and explain the
difference between correlation and regression analyses. Formulate
and discuss adequate regression models for explaining
phenomena.
- Perform linear and non-linear regression analysis, and further
multivariate regression including categorical (dummy) variables as
explanatory variables. Interpret regression coefficients (through
standard errors, p-values etc.) and the determination coefficient
R2, and investigate residuals.
|
Course prerequisites |
Students not enrolled in BSc in
Business Administration & Service Management must document a
level in English equal to TOEFL 575, and A level in mathematics
equal to Danish level B |
Examination |
Methods III –
Statistics and quantitative methods:
|
Examination form |
Written sit-in exam |
Individual or group exam |
Individual |
|
Exam guidelines:
• The written exam takes place on CBS computers
• Graphs can be written by hand
• Students have access to their personal files (S-drive on CBS
network)
• Students do NOT have access to Internet, LEARN, and other
services from CBS (except their personal S-drive on CBS network)
• Students are not allowed to bring personal electronic devices to
the exam, except a non-programmable calculator.
• Re-take examinations and make-up examinations are subject to the
same regulations as the ones noted above |
Assignment type |
Written assignment |
Duration |
4 hours |
Grading scale |
7-step scale |
Examiner(s) |
Internal examiner and second internal
examiner |
Exam period |
Spring Term |
Aids allowed to bring to the exam |
Limited aids, see the list below and the exam
plan/guidelines for further information:
- Additional allowed aids
- Allowed calculators
- Allowed dictionaries
- Books and compendia brought by the examinee
- Notes brought by the examinee
|
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 address established statistical methods for
representing and analyzing quantitativedata,
primarily survey data. The focus is on application of methods.
Students will learn how phenomena are measured statistically and
what kind of conclusions statistical research can lead to.
Also, students will learn how to perform these analyses. The
statistical software is Microsoft Excel which allows for
basic analyses and understanding, and Excel is common software
readily available.
Main modules composing the course are:
• Probability
• Hypothesis tests about means and proportions
- Test about the association between categorical
variables
• Correlation Analysis
• Regression Analysis (the most extensive topic)
|
Teaching methods |
Lectures, workshops, and homework
exercises. |
Student workload |
Classes |
30 hours |
Reading and homework exercises |
130 hours |
Attending workshops |
10 hours |
Preparation for written exam |
55 hours |
|
Expected literature |
- Alan Agresti and Christine Franklin: ‘Statistics. The Art
and Science of learning from Data’, 3rd Edition.
Pearson Education International. Chapters 1, 3, 4, and 6-13.
Exclusive of sections 4.3 and 6.3. Section 13.6 is summary reading.
420 pages
- Per Vejrup-Hansen: 'Excel for Statistics. How to
Organize Data'. Samfundslitteratur 2013. 80
pages
Please note, minor changes may occur. The
teacher will upload the final reading list to LEARN two weeks
before the course starts.
|
Last updated on
02/04/2014