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About Study Course

Department: Statistics Unit
Credit points / ECTS:2 / 3
Course supervisor:Vinita Cauce
Study type:Full time
Course level:Master's
Target audience:Rehabilitation
Language:Latvian
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

Aim of the course is to provide students with the knowledge and skills in general statistics and aplied mathematics in order to create comprehension about importance of on evidence-based medicine in the education of nutritionist.

Prerequisites

Secondary school background in mathematics and informatics. Basic knowledge in research methods.

Learning outcomes

Knowledge

After completion of this course, students will demonstrate basic knowledge that allow:
* to recognise terminology used in statistics and basic methods used in different publications;
* to know MS Excel and IBM SPSS offered data processing tools;
* to know data processing method criterias;
* to know how correctly interpret the most important statistical indicators.

Skills

After completion of this course, students will demonstrate skills:
* to input and edit data in computer programs MS Excel and IBM SPSS;
* to prepare data for statistical analysis correctly;
* to choose appropriate data processing methods, incl., are able to do statistical hypothesis testing;
* statistically analyse research data using computer programs MS Excel and IBM SPSS;
* create tables and graphs in MS Excel and IBM SPSS programmes with obtained results;
* precisely describe obtained research results.

Competence

After completion of this course, students will be able to argument and make decisions about statistical data processing methods, use them to achieve research aims, using computer programs MS Excel and IBM SPSS, practically use learned statistical basic methods to process research data.

Study course planning

Course planning not avalible right now.