2013/2014
BA-HAS_MIII Methods III – Statistics and quantitative
methods (for students enrolled in 2012 or earlier)
| English Title |
| Methods III – Statistics and
quantitative methods (for students enrolled in 2012 or
earlier) |
|
|
| Language |
English |
| Exam ECTS |
7.5 ECTS |
| Type |
Mandatory |
| Level |
Bachelor |
| Duration |
One Quarter |
| Course period |
First 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
08-08-2013
|
| Learning objectives |
Through this course the students
should be able to:
- Explain different kinds of measurement of characteristics
(types of variables), and sampling biases.
- Illustrate, calculate, and interpret descriptive statistics
(mean, median, variance, standard deviation) on numerical
variables.
- Explain and discuss the concept of probability, and relate to
measures of critical val-ue, confidence interval and p-value.
Understand the concept of inference.
- Based on these concepts and measures, perform appropriate tests
about a mean and about the difference between means (for example
average incomes by two groups)
- Perform tests for proportions of values of categorical
variables (fx. shares of votes in an election or preferences for
various products), and about the association between two
categorical variables (fx. gender and preferences).
- Explain and illustrate the concept of correlation between
numerical variables, and compute a correlation coefficient (for
example between household income and spending on a specific
product).
- 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 analyses, and further
multivariate regression. Interpret regression coefficients (through
standard errors, p-values etc.) and the determination coefficient
R2, and investigate residuals.
- Include categorical (dummy) variables as explanatory variables
in regression analysis.
|
| Course prerequisites |
| English language skills equal to B2
level (CEFR) and math skills equal to Danish level B are
recommended. |
| 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. |
| Assignment type |
Written assignment |
| Duration |
4 hours |
| Grading scale |
7-step scale |
| Examiner(s) |
Internal examiner and second 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:
- 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, not
on statistical theory.
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:
• Descriptive Statistics
• 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 |
112 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
08-08-2013
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