1. komponenta

Lecture type	Total
Lectures	15
Exercises	30

* Load is given in academic hour (1 academic hour = 45 minutes)

The course trains students to independently use statistical procedures, the preparation of data for analysis and the performance of statistical analyses of different types of data (descriptive analysis, hypothesis testing, analysis of test results, etc.) as well as for appropriate interpretation of the results. A special focus of the course is on examples from geography, i.e. geographical phenomena and processes. In addition, the course trains students in the use of selected statistical computer programmes, in particular IBM SPSS, the main tool of the course.
Course content:
1. Introduction to the Computer Statistical Analysis course; Introductory concepts in statistics;
2. Introduction to working with a statistical computer package;
3. Preparation and data entry;
4. Manipulations with databases;
5. Treatment of missing data;
6. Linear and non-linear transformations of results;
7. Functions;
8. Descriptive statistical indicators;
9. Selection of appropriate statistical techniques;
10. Measures of connectivity; Correlation coefficients, partial correlation;
11. T-test;
12. Chi-square;
13. Analysis of variance;
14. Graphical representation of data;
15. Interpretation of the results of statistical analysis

1. Ho, R.: Understanding Statistics for the Social Sciences with IBM SPSS
2. Rogerson, P. A.: Statistical Methods for Geography
3. Burt, J. E., Barber, G. M., Rigby, D. L.: Elementary Statistics for Geographers
4. Brace, N., Snelgar, R., Kemp, R.: SPSS for Psychologists
5. Petz, B.: Osnovne statističke metode za nematematičare
6. Milas, G.: Istraživačke metode u psihologiji i drugim društvenim znanostima
7. Babbie, E. R., Wagner, W. E., Zaino, J. S.: Adventures in Social Research: Data Analysis Using IBM SPSS Statistics
8. Field, A.: Discovering Statistics Using IBM SPSS Statistics
9. George, D., Mallery, P.: IBM SPSS Statistics 25 Step by Step: A Simple Guide and Reference
10. Pallant, J.: SPSS Survival Manual: A Step By Step Guide to Data Analysis Using SPSS Program
11. Papić, M.: Primijenjena statistika u MS Excelu

Izborni predmeti - Regular study - Environmental Sciences