Entry requirements

Probability Theory I

Learning outcomes

On completion of the course, the student should be able to

• account for the bases of statistical studies and have knowledge of some methods for describing statistics;
• account for basic inference theoretical concepts and definitions;
• illustrate and interpret important concepts in concrete situations;
• design estimations and confidence intervals in connection with linear regression;
• translate problems from relevant application fields to for statistical treatment appropriate form, choose appropriate model and solution method;
• interpret and evaluate received results;
• use statistical software;

Content

Critical review of how statistics are presented and interpreted. General about statistical studies. Basic theory of point and interval estimations and hypothesis test. Correlation and regression. Parametric methods. Statistical software.

Instruction

Lectures, teaching sessions, calculation exercises and computer exercises.

Assessment

Written examination at the end of the course possibly combined with written assignments during the course according to instructions delivered at course start.

Other directives

The course can not be included in higher education qualification together with any of the courses Probability and statistics (1MS005) or Inference theory (1MS002).