Schedule of lectures and exercises (Statistical Inference)

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

Grading system

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)

Data sets

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