Learning objectives 
The goal is to enable the students to interpret,
understand and apply basic statistical concepts as they apply in
scientific research as well as in everyday life.
The students will become familiar with basic probability theory as
a model for randomness, concepts of statistical inference as well
as a number of concrete estimators, confidence intervals and test.
Statistical software will be introduced.
At the completion of this course the students will be able to:
 Identify key theories, models and concepts of probability and
statistics.
 Use graphical and numerical methods for exploring and
summarizing data on a single categorical or quantitative
variable.
 Describe basic probability and how probability helps us
understand randomness in our lives, as well as grasp the crucial
concept of a sampling distribution and how it relates to inference
methods.
 Choose and justify appropriate descriptive and inferential
methods for examining and analyzing data and drawing
conclusions.
 Analysis of the association between categorical, discrete, and
continuous variables, using contingency tables, correlation,
regressions, and analysis of variance.
 Communicate the conclusions of statistical analysis clearly and
effectively, i.e identify connections between basic statistics and
the real world.

Course prerequisites 
None 
Examination 
Statistics:

Exam
ECTS 
7,5 
Examination form 
Written sitin exam 
Individual or group exam 
Individual 
Assignment type 
Written assignment 
Duration 
4 hours 
Grading scale 
7step scale 
Examiner(s) 
One internal examiner 
Exam period 
October and Autumn Term, the regular exam takes
place in October. The makeup and reexamination takes place in
January. 
Aids allowed to bring
to the exam 
Limited aids, see the list below and the exam
plan/guidelines for further information:
 Additional allowed aids
 Books and compendia brought by the examinee
 Notes brought by the examinee
 Allowed calculators
 Allowed dictionaries

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.
The Makeup and Reexamination takes
place according to the same rules as the regular
exam.

Description of the exam
procedure
This is an open book exam meaning that
all material is allowed (textbook, personal notes, lecture slides,
exercise solutions, articles, calculator, etc.). An exception is
any electronic device that makes it possible to communicate with
others, e.g. USB key.
PC exam with access to JMP, LEARN and personal Sdrive on CBS
network.
Students do NOT have access to
Internet.


Course content and structure 
The major goal of the statistics course is to produce
statistically educated students which mean that students should
develop statistical literacy and the ability to think and reason
statistically.
Statistics is a valuable tool in the practical application of
every other science. Emphasis is on interpretation and
understanding of simple statistical methods as applied in business,
economics, different types of companies or institutions and
industries.
The topics of the curriculum are:
a)The basic laws of probability and the most important probability
distributions.
b) Descriptive statistics, both numerical and graphical.
c) Statistical inference; estimators, confidence intervals and
significance tests of hypotheses.
d) One and two sample tests for means and proportions; paired and
unpaired data.
e) Analysis of association using contingency tables and
correlation.
f) Regression analysis; simple, multiple, logistic.
g) Oneway and twoway analysis of variance, analysis of
covariance.

Teaching methods 
Lectures, exercise classes and computer
workshops 
Student workload 
Lectures 
28 hours 
Exercise classes 
18 hours 
Computer workshops 
6 hours 

Expected literature 
Book: Agresti A., C. Franklin (2012): “Statistics: The Art and
Science of Learning from Data” (3rd international ed), Prentice
Hall; chapters 114.
Supplementary notes
Please note, minor changes might occur. The teacher will
upload the final reading list to Learn two weeks before the course
starts.
