All courses

Course content

The course provides an introduction to statistical methods and includes point estimation, the method of moments, least squares estimation, maximum likelihood estimation, general introduction to interval estimation and testing of statistical hypothesis, methods for normal distributed random variables based on T-distribution, chi-squared distribution and F-distribution, testing in binomial models, group comparison, methods for normal approximation, simple regression and analysis of variance for normally distributed data, analysis of correlation, goodness of fit tests and non-parametric tests.

Learning outcome

The course gives the students an introduction to, and an theoretical understanding of, the basic principles in statistical inference. Further, the commonly used statistical methods will be dealt with. The student will through the exercises be able to choose the correct method and do the analysis of data sets in simple practical situations.

Learning methods and activities

Lectures and compulsory exercises. Written final examination is the basis for the grade awarded in the course. Retake of examination may be given as an oral examination.

Compulsory assignments

• Exercises

Recommended previous knowledge

The course is based on ST1101 Probability and MA1101 Basic calculus I.

Required previous knowledge

Course materials

Will be announced at the start of the course.

Credit reductions

Course code	Reduction	From	To
MNFSIB1	4.0		2008.31.08
MNFSIB1	3.7	2008.01.09
MNFST001	7.5
MNFST101	7.5
SIF5060	3.7	2008.01.09
SIF5062	3.7	2008.01.09
ST0103	3.7	2009.01.09
ST0201	7.5
ST0202	4.0		2008.31.08
ST0202	3.7	2008.01.09
ST6201	7.5
SØK1004	3.0	2008.01.09
TMA4240	3.7
TMA4245	3.7