Course content

Hypotheses testing, simple and multiple linear regression, residual plots and selection of variables, transformations, design of experiments, 2^k experiments and fraction of these. Special designs. Graphical methods. Error propagation formula. Analysis of variance, statistical process control, contingency tables and non-parametric methods. Use of statistical computer package.

Learning outcome

The objective of the course is to give the students a solid foundation for use of basic statistical methods in science and technology. In addition the students shall be capable of planning collection of data and to use statistical software for analysing data.

Learning methods and activities

Lectures and exercises with the use of a computer (computing programme MINITAB or R). The lectures may be given in English. Portfolio assessment is the basis for the grade awarded in the course. This portfolio comprises a written final examination 80% and selected parts of the exercises 20%. The results for the constituent parts are to be given in %-points, while the grade for the whole portfolio (course grade) is given by the letter grading system. Retake of examination may be given as an oral examination.

Compulsory assignments

• Exercises

Recommended previous knowledge

The course is based on ST0103 Statistics with Applications/TMA4240 Statistics/4245 Statistics, or equivalent.

Course materials

To be announced at the start of the course.

Credit reductions