PřF:Z0069 Statistical methods - Course Information
Z0069 Geographical Data Analysis
Faculty of ScienceAutumn 2014
- Extent and Intensity
- 2/2/0. 6 credit(s). Type of Completion: graded credit.
- Teacher(s)
- prof. RNDr. Petr Dobrovolný, CSc. (lecturer)
- Guaranteed by
- prof. RNDr. Rudolf Brázdil, DrSc.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: prof. RNDr. Petr Dobrovolný, CSc.
Supplier department: Department of Geography – Earth Sciences Section – Faculty of Science - Prerequisites (in Czech)
- SOUHLAS
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Geography and Geoinformatics (programme PřF, B-AG)
- Applied Geography and Geoinformatics (programme PřF, B-AG, specialization Geoinformatics and Regional Development)
- Applied Geography and Geoinformatics (programme PřF, B-AG, specialization Geoinformatics and Sustainable Development)
- Geographical Cartography and Geoinformatics (programme PřF, B-GK)
- Geography and Cartography with a view to Education (programme PřF, B-EB)
- Geography and Cartography with a view to Education (programme PřF, B-GK)
- Geography and Cartography with a view to Education (programme PřF, B-CH)
- Geography and Cartography with a view to Education (programme PřF, B-MA)
- Geography (programme PřF, B-GK)
- Geography (programme PřF, B-GK, specialization Physical Geography)
- Geography (programme PřF, B-GK, specialization Human Geography)
- Course objectives
- The main aim of this course is to provide students with an overview of practical use of basic statistical methods. At the end of the course student should be able to understand basic statistical methods explained in individual lectures. He/she would be able to explain when to apply different methods and make reasoned decisions about preconditions that are necessary for proper utilization of methods in question. He/she would be able to work with information on data preparation, make deductions based on acquired knowledge concerning statistical methods and properly interpret results
- Syllabus
- Exercises: (basic EXCEL skills expected, STATISTICA is used in most of exercises - see the 1st exercise) 1. Intro to STATISTICA 2. Frequency tables, graphical presentation of frequency distribution 3. Descriptive statistics 4. Theorethical distribution, testing of normality 5. Parameters estimation and construction of Pearson's curve 6. Point and interval estimates 7. Hypothesis testing, application of F-test and t-test 8. Nonparametric testing, Mann–Whitney U-test 9. Analysis of Variance (ANOVA) 10. Correlation, interpretation of correlation coefficient 11. Regression analysis, linear regression model 12. Time series analysis, trend analysis, smoothing of time series
- Literature
- ROGERSON, Peter. Statistical methods for geography : a student guide. 2nd ed. London: SAGE Publications, 2006, xvi, 304. ISBN 1412907969. info
- FOTHERINGHAM, A. Stewart, Chris BRUNSDON and Martin CHARLTON. Quantitative geography : perspectives on spatial data analysis. London: SAGE Publications, 2000, xii, 270. ISBN 0761959483. info
- BRÁZDIL, Rudolf. Statistické metody v geografii : cvičení. 3. vyd. Brno: Vydavatelství Masarykovy univerzity, 1995, 177 s. ISBN 8021012609. info
- HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
- BUDÍKOVÁ, Marie. Statistika. 1. vyd. Brno: Masarykova univerzita v Brně, 2004, 186 s. ISBN 8021034114. info
- Teaching methods
- Lectures explaining basic terms and presenting individual examples step by step. Practical training based on 11 exercises that are solved using statistical software.
- Assessment methods
- Two written tests, the first one practical with the use of computer. Elaboration of all practical excercises is the necessary conditon for passing the exam.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught last offered.
The course is taught: every week.
General note: předmět se vypisuje naposled pouze pro studenty, kteří předmět opakují.
Information on course enrolment limitations: pouze pro studenty opakující předmět pro neúspěch
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/autumn2014/Z0069