| Learning objectives |
To achieve the grade 12, students
should meet the following learning objectives with no or only minor
mistakes or errors: Upon completion of the course, the students
should be able to:
- Explain different kinds of population characteristics (types of
variables), their measurement from a sample, and sampling
biases.
- Explain and discuss the concept of probability and the concept
of inference, and relate to measures of test statistics, critical
value, confidence interval and p-value. Understand the concept of
inference.
- Explain and perform appropriate tests of hypotheses about means
and proportions
- Explain and perform tests of hypotheses about the association
between two categorical variables.
- Explain the concept of correlation between numerical variables,
and compute a correlation coefficient
- Explain the logic of regression analysis and the difference
between correlation and regression analyses. Formulate and discuss
adequate regression models for explaining different phenomena.
- Perform linear regression, including multivariate regression
and regression with categorical (dummy) variables as explanatory
variables. Interpret regression coefficients and related measures
(t-tests, F-tests, standard errors, p-values etc.) and the
determination coefficient (R2), and investigate
residuals.
|
| Course prerequisites |
| English language skills equal to B2
level (CEFR) and math skills equal to Danish level B are
recommended |
| Examination |
|
Method II.
Statistics and quantitative methods:
|
| Exam
ECTS |
7,5 |
| Examination form |
Written sit-in exam |
| 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 |
Spring |
| Aids allowed to bring to the exam |
Limited aids, see the list below:
- Written sit-in-exam on CBS' computers
- Books and compendia brought by the examinee
- Notes in paper format brought by the examinee
- Access to personal drive (S-drive) on CBS' network
- USB key to upload your notes before the exam
- Approved calculators: HP 10bII+ and Texas BA II Plus
- Dictionaries (only some, see specification
below)
|
| 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.
• Re-take examinations and make-up
examinations are subject to the same regulations as the ones noted
above
|
Description of the exam
procedure
Allowed dictionaries:
· simple language
dictionaries
|
|
| Course content and
structure |
|
The course addresses established statistical methods for
representing and analyzing quantitative data, primarily survey
data. The focus will be on selecting and applying the
methods that are appropriate for a given type of
data. Students will learn how phenomena can be measured and
analyzed statistically, how to report the results of their
analysis, and what kind of conclusions statistical research
can lead to.
The main modules composing the course are:
• Probability
• Confidence intervals and hypothesis testing
• Tests of hypotheses about means and proportions
• Tests of association between categorical variables
• Correlation analysis
• Regression analysis
Students will learn how to perform statistical analyses in
Microsoft Excel.
|
| Teaching methods |
| Lectures (introduce statistical
theory, example, cases); workshops (train how to select, apply and
report the appropriate method for analyzing a particular data set);
homework exercises (in preparation for lectures and
workshops). |
| 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, 6.3, 7.3, 8.5, 9.6, 11.5, 13.6).
529 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.
|
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