2013/2014
BAHAS_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 eCampus 
Study board 
Study Board for BSc in Service
Management

Course
coordinator 
 Per VejrupHansen  Department of Innovation and Organizational
Economics (INO)

Main academic
disciplines 
 Statistics and mathematics

Last updated on
08082013

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 value, confidence interval and pvalue.
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 nonlinear regression analyses, and further
multivariate regression. Interpret regression coefficients (through
standard errors, pvalues 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 sitin 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 (Sdrive on CBS
network)
• Students do NOT have access to Internet, LEARN, and other
services from CBS (except their personal Sdrive on CBS network)
• Students are not allowed to bring personal electronic devices to
the exam, except a nonprogrammable calculator. 
Assignment type 
Written assignment 
Duration 
4 hours 
Grading scale 
7step 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

Makeup exam/reexam 
Same examination form as the ordinary exam
If the number of registered candidates for the makeup
examination/retake examination warrants that it may most
appropriately be held as an oral examination, the programme office
will inform the students that the makeup examination/retake
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’, 3^{rd} Edition.
Pearson Education International. Chapters 1, 3, 4, and 613.
Exclusive of sections 4.3 and 6.3. Section 13.6 is summary reading.
420 pages
 Per VejrupHansen: '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
08082013