Course code Ekon3008
Credit points 2.25
Business Planning and Statistics II
Total Hours in Course60
Number of hours for lectures8
Number of hours for laboratory classes16
Date of course confirmation19.10.2011
Responsible UnitInstitute of Computer Systems and Data Science
Course developer
Līga Paura
Dr. agr.
Course abstract
The course gives knowledge about data analysis methods, management and analysis in the different statistical software. The following topics are covered: descriptive statistics, graphical summarizing of data and qualitative data analysis methods.
Learning outcomes and their assessment
After completing the course student will have: knowledge and critical understanding about data analysis methods; how to apply data analyses methods in research projects; skills to discuss the choice of methods of data processing principles, their application and implementation, to interpret the results and draw conclusions; competence to use statistical software and realize data analysis outcomes in bachelor work.
Compulsory reading
1. Arhipova I., Bāliņa S. Statistika ekonomikā un biznesā. Rīga: Datorzinību centrs, 2006. 362 lpp.
2. Arhipova I., Bāliņa S. Statistika ekonomikā: risinājumi ar SPSS un Microsoft Excel. Rīga: Datorzinību centrs, 2003. 349 lpp.
3. Paura L., Arhipova I. Neparametriskas metodes. SPSS datorprogramma. Mācību līdzeklis. Jelgava: LLKC, 2002. 148 lpp.
Further reading
1. Berenson M.L., Levine D.M. BasicBusinessStatistics: ConceptsandApplications. UpperSaddle, NewJersey: PrenticeHall, 2009. 1013 lpp.
2. SPSS forsocialscientists. R. L. Miller ... etal.; consultanted. Jo Campling. Basingstoke, Hants; NewYork: PalgraveMacmillan, 2002. 334 p.