{"id":3505,"date":"2023-02-24T12:45:43","date_gmt":"2023-02-24T11:45:43","guid":{"rendered":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/?page_id=3505"},"modified":"2026-03-13T11:13:31","modified_gmt":"2026-03-13T10:13:31","slug":"sw-20-se001-statistika","status":"publish","type":"page","link":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/?page_id=3505","title":{"rendered":"SV.20.SE001.Statistika"},"content":{"rendered":"\n

SV.20.SE001.Statistika<\/h1>\n\n\n\n
SEMESTAR<\/strong><\/td>6<\/td><\/tr>
ESPB<\/strong><\/td>5<\/td><\/tr>
FOND \u010cASOVA<\/strong><\/td>3+1+2<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Sadr\u017eaj predmeta<\/h3>\n\n\n\n

1. Verovatno\u0107a i slu\u010dajne promenljive<\/h4>\n\n\n\n

1.1 Prostor verovatno\u0107e
1.2 Uslovna verovatno\u0107a
1.3 Slu\u010dajne promenljive
1.4 Numeri\u010dke karakteristike slu\u010dajnih promenljivih i Regresija
1.5 Zakoni velikih brojeva, Centralne grani\u010dne teoreme<\/p>\n\n\n\n

2. Statistika<\/h4>\n\n\n\n

2.1 Va\u017ene raspodele
2.2 Populacija, obele\u017eje, uzorak, deskriptivna statistika
2.3 Ocene parametara, ta\u010dkaste i intervalne
2.4 Statisti\u010dki testovi zna\u010dajnosti, parametarski i neparametarski
2.5 Regresija, linearna regresija najmanjih kvadrata
2.6 ANOVA
2.7 Jednostavni linearni model, multipla regresija
2.8 Permutacioni testovi<\/p>\n\n\n\n

3. Statisti\u010dki softver R<\/h4>\n\n\n\n

3.1 Pokretanje R-a i osnovne manipulacije podataka
3.2 Deskriptivna statistika i vizualizacija podataka u R-u
3.3 Raspodele, statisti\u010dki testovi, intervali poverenja u R-u
3.4 ANOVA i Jednostavni linearni model u R-u<\/p>\n\n\n\n

Na\u010din polaganja:<\/h3>\n\n\n\n

Predmet se sastoji iz predispitnih obaveza, zadataka koji se pola\u017eu pismeno i teorije koja se pola\u017ee na usmenom delu.<\/p>\n\n\n\n

Predispitne obaveze se pola\u017eu na ra\u010dunarskim testovima u zakazanim terminima tokom slu\u0161anja nastave i osvojeni bodovi va\u017ee trajno.<\/p>\n\n\n\n

Pismeni delovi se pola\u017eu u toku slu\u0161anja nastave preko kolokvijuma i u svakom ispitnom roku u terminu za koji je prijavljen ispit.<\/p>\n\n\n\n

Va\u017eenje pismenog dela polo\u017eenog preko kolokvijuma je do kraja kalendarske godine u kojoj je odslu\u0161an predmet ili do poni\u0161tavanja izlaskom na pismeni ispit i re\u0161avanjem zadataka iz tog dela.<\/p>\n\n\n\n

Va\u017eenje pismenog dela polo\u017eenog u ispitnom roku je do usmenog ispita u tom roku, najdu\u017ee 7 dana.<\/p>\n\n\n\n

Postoji minimalan broj bodova koji se mora osvojiti da bi se neki deo pismenog ispita ra\u010dunao kao polo\u017een.<\/p>\n\n\n\n

Usmeni ispit se odr\u017eava par dana posle pismenog ispita, u terminu dogovorenom na pismenom ispitu. Na usmeni ispit su pozvani studenti koji su prijavili ispit u tom roku, imaju polo\u017eene pismene delove i skupljenih najmanje 31 bod ukupno.<\/p>\n\n\n\n

Ocene se formiraju na osnovu osvojenih bodova, u skladu sa Statutom FTN-a: 51+ -> 6, 61+ -> 7, …<\/p>\n\n\n\n

U tabeli koja sledi se vide delovi i bodovi.<\/p>\n\n\n\n

<\/td>Pismeni<\/td>Pismeni<\/td>Predisp.<\/td>Predisp.<\/td>Usm.<\/td>Usm.<\/td><\/td><\/tr>
<\/td>Kol 1<\/td>Kol 2<\/td>Test R1<\/td>Test R2<\/td>Test<\/td>Teorija<\/td>suma<\/td><\/tr>
MAX<\/td>25<\/td>25<\/td>15<\/td>15<\/td>10<\/td>10<\/td>100<\/td><\/tr>
MIN<\/td>12<\/td>12<\/td>0<\/td>0<\/td>0<\/td>0<\/td>51<\/td><\/tr>
Datum  kolok.<\/td>13:15
10. V
2026.<\/td>
10:00
27. VI
2026.
<\/td>		<\/td><\/td><\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

SV.20.SE001.Statistika SEMESTAR 6 ESPB 5 FOND \u010cASOVA 3+1+2 Sadr\u017eaj predmeta 1. Verovatno\u0107a i slu\u010dajne promenljive 1.1 Prostor verovatno\u0107e1.2 Uslovna verovatno\u0107a1.3 Slu\u010dajne promenljive1.4 Numeri\u010dke karakteristike slu\u010dajnih promenljivih i Regresija1.5 Zakoni velikih brojeva, Centralne grani\u010dne teoreme 2. Statistika 2.1 Va\u017ene raspodele2.2 Populacija, obele\u017eje, uzorak, deskriptivna statistika2.3 Ocene parametara, ta\u010dkaste i intervalne2.4 Statisti\u010dki testovi zna\u010dajnosti, parametarski i neparametarski2.5 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":3119,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-3505","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/index.php?rest_route=\/wp\/v2\/pages\/3505","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3505"}],"version-history":[{"count":24,"href":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/index.php?rest_route=\/wp\/v2\/pages\/3505\/revisions"}],"predecessor-version":[{"id":3970,"href":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/index.php?rest_route=\/wp\/v2\/pages\/3505\/revisions\/3970"}],"up":[{"embeddable":true,"href":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/index.php?rest_route=\/wp\/v2\/pages\/3119"}],"wp:attachment":[{"href":"https:\/\/nblok306.ftn.uns.ac.rs\/~zoran\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3505"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}