Course content

This course is equivalent to ST1201, adapted to further education. Point estimation, interval estimation and hypothesis testing for one- and two-sample normal data based on t, chi square and F distributions. Hypothesis testing in binomial models. Simple linear regression and analysis of variance for normal data. Goodness of fit and non-parametric tests.

Learning outcome

1. Knowledge. The student has a good knowledge about point estimation, confidence intervals and hypothesis testing, inference for one- and two-sample normal and for binomial models. The student also has a good knowledge about simple linear regression, analysis of variance and some nonparametric tests. 2. Skills. The student can recognise and analyse data from standard statistical situations. The student is able to discuss more complicated situations. Some use of statistical software.

Learning methods and activities

Exercises and physical or digital gatherings (agreed upon at the start of the semester with the students). Written final examination is the basis for the grade awarded in the course.

Part of the teaching may be given in English.

Compulsory assignments

• Exercises

Specific conditions

Recommended previous knowledge

ST1101 Probability and Statistics, MA1101 Basic Calculus 1.

Course materials

Will be announced at the start of the course.

Credit reductions