TMA4255 Applied Statistics, spring 2011

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.

Topics

• One and two sample inference with normal data
• Simple and multiple linear regression, residual plots and selection of variables, transformation.
• Design of experiments, 2^k experiments and fractions of these. Special designs.
• Analysis of variance.
• Statistical process control.
• Statistical analysis of contingency tables.
• Nonparametric methods.

Software Lectures and exercises will include using statistical software, preferably MINITAB or R.

Teaching language The lectures may be given in English.

Evaluation Portfolio assessment is the basis for the grade awarded in the course. This portfolio comprises a written final examination 80% and a compulsory project 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.

Recommended previous knowledge The course is based on ST0103 Statistics with Applications/TMA4240 Statistics/TMA4245 Statistics, or equivalent.

Credit: 7.5 stp.