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