Neparametarski testovi

master's thesis

• Author: Antonija Dermišek
• Mentor: Snježana Lubura Strunjak (mentor)
• Committee member: Snježana Lubura Strunjak (predsjednik povjerenstva)
• Committee member: Vanja Wagner (član povjerenstva)
• Committee member: Hrvoje Šikić (član povjerenstva)
• Committee member: Bojan Basrak (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Mathematics); Zagreb
• Defense date and country: 2020-09-29, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Mathematics

Abstract

U ovom diplomskom radu prikazane su određene metode neparametarskih testova i simulacija podataka u programskom jeziku R za neke distribucije. Neparametarski testovi koriste se kada nam ništa nije poznato o distribuciji populacije, kada imamo uzorke male duljine, kada statističke parametre nije moguće izračunati zbog prirode obilježja te kada su vrijednosti obilježja rangirane. Također, u radu su prikazane osnovne definicije i pojmovi koji se koriste u neparametarskim testovima, a sistematičnom podjelom testova opisane su njihove mogućnosti, primjeri te provođenje postupka za zadatke čiji su podaci izgenerirani u programskom jeziku R.

Abstract (english)

In this thesis certain methods of non-parametric tests and data simulations in programming language R for some distributions are shown. Non-parametric tests are used when we don’t know anything about the distribution of a population, when samples are small, when statistical parameters can not be calculated due to the nature of characteristics and when the values of characteristics are ranked. Basic definitions and terms which are being used in non-parametric tests are also shown in this thesis, while their possibilities, examples and implementations in tasks whose data are generated in programming language R are described with systematic division of the tests.

• Keywords: neparametarski testovi; distribucija populacije
• Keywords (english): non-parametric tests; programming language R; distribution of a population
• Language: croatian
• URN:NBN: urn:nbn:hr:217:888320
• Study programme: Title: Mathematics and Computer Science Education; specializations in: Mathematics and Computer Science Education; Course: Mathematics and Computer Science Education; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra edukacije matematike i informatike (magistar/magistra edukacije matematike i informatike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-12-10 11:08:49