Course code Medi5012

Credit points 2


Total Hours in Course80

Number of hours for lectures16

Number of hours for seminars and practical classes16

Independent study hours48

Date of course confirmation06.02.2013

Responsible UnitFaculty of Food Technology

Course abstract

The course aims to provide students with general statistics, mathematical statistics and applied mathematics knowledge and skills, which is needed for other study disciplines, as well as in nutrition education. The course objective is to provide knowledge and methods for students about general statistics, probability theory and mathematical statistics concepts and methods; concepts of correlation, factor and discriminant analysis.

Learning outcomes and their assessment

After completing of study course students will be able to correctly interpret the most important statistical indicators in the speciality, to create and edit databases in Excel and SPSS, to process the measurement results and questionnaire data using computers, to create and edit tables and charts, to manage statistical hypothesis testing, will have competence to evaluate the data analysis and interpret it correctly.

Compulsory reading

1. Teibe O. Bioloģiskā statistika. Rīga: LUAkadēmiskais apgāds, 2007. 156 lpp.
2. Krastiņš O. Statistika Mācību līdzeklis Rīga:LR Centrālās statistikas pārvalde, 2003. 267 lpp.
3. Arhipova I., Bāliņa S. Statistika ekonomikā. Risinājumi ar SPSS un Microsoft Excel. Rīga: Datorzinību centrs, 2003. 352 lpp.
4. Ievads pētniecībā: stratēģija, dizaini, metodes. Rīga: RaKa, 2011. 284 lpp.

Further reading

1. Krastiņš O. Ekonometrija. Mācību līdzeklis augstskolām. Rīga: LR centrālās statistikas pārvalde, 2003. 207 lpp.
2. Altman D. Practical statistics for medical research. Boca Raton:Chapman&Hall, 1999. 612p.
3. Raščevska M., Kristapsone S. Statistika psiholoģijas pētījumos. Rīga: Izglītības soļi, 2000. 356 lpp.

Periodicals and other sources

1. Latvijas statistikas gadagrāmata.