Lecture
1 and Exercise Survey
sampling

Lecture
2 and Exercise Survey sampling. Estimation of parameters

Lecture
3 and Exercise Estimation
of parameters

Lecture
4 and Exercise Testing
hypotheses

Lecture
5 and Exercise Testing
hypotheses. Introduction to Bayesian inference

Lecture
6 and Exercise Introduction to Bayesian inference

Lecture
7 and Exercise Summarizing data

Lecture
8 and Exercise Comparing two samples

Lecture
9 and Exercise Comparing two samples. Analysis of
variance

Lecture
10 and Exercise Analysis
of variance

Lecture
11 Analysis of variance.
Categorical data analysis

Lecture
12 and Exercise Categorical
data analysis

Lecture
13 and Exercise Multiple regression

Lecture
14 and Exercise Multiple regression

A set of optional INDIVIDUAL assignments can give a student up to 3
bonus points depending on how many assignments are worked out and how well the
reports are written. The granted bonus points are valid for the whole year.

Bonus assignments (updated version)

The
**final exam** is closed books. However, you will be allowed to use four A4
pages of notes. These notes should be your own summary of the course material
and might be either hand-written or printed out from your own file. You are
allowed to use a calculator with free memory and no possibility for internet
connection.

Max. number of units for the final exam is 30. Passing units (including
eventual bonus points for the optional assignment)

CTH students: 12 for '3', 18 for '4', 24 for '5'

GU
students: 12 for 'G', 20 for 'VG'

When grading exams, the following signs are
used

underline
- a place where it starts getting wrong or a wrong answer

three
dots - the answer is not complete

question
sign - I do not understand here or disagree

plus
- you made a good point here

Matlab
statistical commands