| Course title |
Statistics |
| Course code |
Ekon3001 |
| Credit points (ECTS) |
4.5 |
| Total Hours in Course |
121.5 |
| Number of hours for lectures |
16 |
| Number of hours for laboratory classes |
32 |
| Date of course confirmation |
21/10/2011 |
| Responsible Unit |
Institute of Computer Systems and Data Science |
| |
| Course developers |
Dr. agr., prof. Līga Paura
|
| There is no prerequisite knowledge required for this course |
| |
| Course abstract |
| Students acquire theoretical and empirical distributions, statistical data analysis and hypotheses testing. During the studies the real examples related to agriculture sciences are using. MS Excel is provides for problem tasks solving. The course topics are the following: descriptive statistic, hypothesis testing for two samples a mean, analyse of variance (ANOVA), correlation and regression. |
| Learning outcomes and their assessment |
| After completing the course student will have knowledge and critical understanding about data analysis methods; apply data analyses methods in students research projects; skills to define test hypothesis; to choose according to the research project test hypothesis and data analysis method; to interpret results; to formulate conclusions; competences in collaboration with supervisor to realize research in bachelor work; to use data analysis methods in research projects and bachelor work. |
| Compulsory reading |
| 1. Krastiņš O., Ciemiņa I. Statistika: mācību grāmata. Rīga: LR Centrālā statistikas pārvalde, 2003. 267 lpp.
2. Arhipova I., Bāliņa S. Statistika ekonomikā un biznesā. Risinājumi ar SPSS un Microsoft Excel: mācību grāmata. Rīga: Datorzinību centrs, 2006. 362 lpp. |
| Further reading |
1. Arhipova I., Bāliņa S. Statistika ar Microsoft Excel ikvienam. 1daļa. Rīga: Datorzinību centrs, 2000.
2. Arhipova I., Bāliņa S. Statistika ar Microsoft Excel ikvienam. 2daļa. Rīga: Datorzinību centrs, 2000.
3. Zar J. H. Biostatistical Analysis. New Jersey: Published by Prentice Hall, 1999. |