Computer Assisted Statistical Analysis

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Computer Assisted Statistical Analysis

Code: 213061
ECTS: 5.0
Lecturers in charge: izv. prof. dr. sc. Slaven Gašparović
Lecturers: izv. prof. dr. sc. Slaven Gašparović - Exercises
Take exam: Studomat
Load:

1. komponenta

Lecture typeTotal
Lectures 15
Exercises 30
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
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
Literature:
2. semester
GEOGDI-ISVU 75 izborni predmeti 2. semestar - Regular study - Heritage and Tourism
GEOGDI-ISVU 73 izborni predmeti 2. semestar - Regular study - Physical Geography with Geoecology
Consultations schedule:
  • izv. prof. dr. sc. Slaven Gašparović:

    By prior arrangement by email slaveng@geog.pmf.hr.

    Location: 228
  • izv. prof. dr. sc. Slaven Gašparović:

    By prior arrangement by email slaveng@geog.pmf.hr.

    Location: 228