MediaWiki API result
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"compare": {
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"fromtitle": "S\u0101kumlapa",
"toid": 2,
"torevid": 2,
"tons": 0,
"totitle": "Statistika",
"*": "<tr><td colspan=\"2\" class=\"diff-lineno\" id=\"mw-diff-left-l1\">1. rindi\u0146a:</td>\n<td colspan=\"2\" class=\"diff-lineno\">1. rindi\u0146a:</td></tr>\n<tr><td class=\"diff-marker\" data-marker=\"\u2212\"></td><td class=\"diff-deletedline diff-side-deleted\"><div><<del class=\"diffchange diffchange-inline\">strong</del>><del class=\"diffchange diffchange-inline\">MediaWiki veiksm\u012bgi instal\u0113ts</del>.</<del class=\"diffchange diffchange-inline\">strong</del>></div></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">[[Att\u0113ls:Fisher iris versicolor sepalwidth.svg|thumbnail|upright=1.2|[[Norm\u0101lais sadal\u012bjums|Gausa jeb norm\u0101lais sadal\u012bjums]] ir viens no nep\u0101rtraukto statistisko datu apkopojuma veidiem]]</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">'''Statistika''' ir [[lieti\u0161\u0137\u0101 matem\u0101tika|lieti\u0161\u0137\u0101s matem\u0101tikas]] nozare, kas nodarbojas ar [[dati|datu]] v\u0101k\u0161anu, organiz\u0113\u0161anu, apstr\u0101di, anal\u012bzi, interpret\u0101ciju un prezent\u0113\u0161anu,<ref name=\"FreeDictionary\">{{t\u012bmek\u013ca atsauce |url=http://www.thefreedictionary.com/dict.asp?Word=statistics |title= Definition of statistics by the Free Online Dictionary, Thesaurus and Encyclopedia |publisher=thefreedictionary.com | accessdate={{dat|2025|2|20||bez}} | language=en}}</ref><ref>{{t\u012bmek\u013ca atsauce |title=Statistics |url=https://www.britannica.com/science/statistics |publisher=Encyclopedia Britannica |accessdate={{dat|2025|2|20||bez}} |language=en}}</ref><ref>{{t\u012bmek\u013ca atsauce |title=Statistics: Definition, Types, and Importance |url=https://www.investopedia.com/terms/s/statistics.asp |website=investopedia.com |accessdate={{dat|2025|2|20||bez}} |language=en}}</ref> k\u0101 ar\u012b par [[nenoteikt\u012bba]]s m\u0113r\u012b\u0161anu, kontroli un komunik\u0101ciju.<ref>{{t\u012bmek\u013ca atsauce |title=What is Statistics? |url=https://www.stat.auckland.ac.nz/~wild/preprints/What%20is%20Stats_16-10-14.pdf |website=stat.auckland.ac.nz |accessdate={{dat|2025|2|20||bez}} |language=en}}</ins><<ins class=\"diffchange diffchange-inline\">/ref</ins>> <ins class=\"diffchange diffchange-inline\">T\u0101 tiek izmantota, lai izdar\u012btu secin\u0101jumus par [[statistiskais kopums|statistisko kopumu]], balstoties uz [[izlases dati]]em, k\u0101 ar\u012b lai identific\u0113tu sakar\u012bbas un tendences. Statistikas metodes iedal\u0101s div\u0101s galvenaj\u0101s kategorij\u0101s \u2014 [[apraksto\u0161\u0101 statistika|apraksto\u0161aj\u0101 statistik\u0101]], kas apkopo un raksturo datus, un [[secino\u0161\u0101 statistika|secino\u0161aj\u0101 statistik\u0101]], kas \u013cauj veikt visp\u0101rin\u0101jumus un p\u0101rbaud\u012bt hipot\u0113zes.<ref name=\"dzm\">{{t\u012bmek\u013ca atsauce | url= http://www.dzm.lu.lv/mat/IT/M_11/default.aspx@tabid=17&id=210.html | title= Statistikas j\u0113dziens | publisher= dzm.lu</ins>.<ins class=\"diffchange diffchange-inline\">lv | accessdate= 2012-07-14 | language= latviski}}</ins></<ins class=\"diffchange diffchange-inline\">ref</ins>></div></td></tr>\n<tr><td class=\"diff-marker\"></td><td class=\"diff-context diff-side-deleted\"><br></td><td class=\"diff-marker\"></td><td class=\"diff-context diff-side-added\"><br></td></tr>\n<tr><td class=\"diff-marker\" data-marker=\"\u2212\"></td><td class=\"diff-deletedline diff-side-deleted\"><div><del class=\"diffchange diffchange-inline\">Izlasi </del>[https://www.<del class=\"diffchange diffchange-inline\">mediawiki</del>.<del class=\"diffchange diffchange-inline\">org</del>/<del class=\"diffchange diffchange-inline\">wiki</del>/<del class=\"diffchange diffchange-inline\">Special</del>:<del class=\"diffchange diffchange-inline\">MyLanguage</del>/<del class=\"diffchange diffchange-inline\">Help</del>:<del class=\"diffchange diffchange-inline\">Contents Lietot\u0101ja pam\u0101c\u012bbu</del>], <del class=\"diffchange diffchange-inline\">lai ieg\u016btu vair\u0101k inform\u0101cijas </del>par <del class=\"diffchange diffchange-inline\">Wiki programmat\u016bras lieto\u0161anu</del>.</div></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Statistika ir b\u016btiska da\u017e\u0101d\u0101s </ins>[<ins class=\"diffchange diffchange-inline\">[zin\u0101tne|zin\u0101tn\u0113s]] un to nozar\u0113s. [[Valsts iest\u0101de]]s izmanto statistiskos datus, piem\u0113ram, [[tautas skait\u012b\u0161ana]]s rezult\u0101tus, lai izprastu [[sabiedr\u012bba|sabiedrisk\u0101s dz\u012bves]] un [[saimniec\u012bba|tautsaimniec\u012bbas]] kvantitat\u012bv\u0101s likumsakar\u012bbas.<ref>{{t\u012bmek\u013ca atsauce |title=Kas ir tautas un m\u0101jok\u013cu skait\u012b\u0161ana? |url=</ins>https://www.<ins class=\"diffchange diffchange-inline\">csp</ins>.<ins class=\"diffchange diffchange-inline\">gov.lv</ins>/<ins class=\"diffchange diffchange-inline\">lv</ins>/<ins class=\"diffchange diffchange-inline\">kas-ir-tautas-un-majoklu-skaitisana |publisher=Centr\u0101l\u0101 statistikas p\u0101rvalde |accessdate={{dat|2025|2|21||bez}}}}</ref><ref>{{t\u012bmek\u013ca atsauce |title=Tautas skait\u012b\u0161ana |url=https</ins>:/<ins class=\"diffchange diffchange-inline\">/enciklopedija.lv/skirklis/30863-tautas-skait%C4%AB%C5%A1ana |publisher=Nacion\u0101l\u0101 enciklop\u0113dija |accessdate={{dat|2025|2|21||bez}}}}</ref> [[Dabaszin\u0101tnes|Dabaszin\u0101tn\u0113s]] un [[medic\u012bna|medic\u012bn\u0101]] t\u0101 pal\u012bdz analiz\u0113t [[eksperiments|eksperimentu]] rezult\u0101tus un p\u0101rbaud\u012bt [[hipot\u0113ze]]s,<ref>{{t\u012bmek\u013ca atsauce |title=Kl\u012bniskie p\u0113t\u012bjumi |url=https</ins>:<ins class=\"diffchange diffchange-inline\">//www.zva.gov.lv/lv/pacientiem-un-sabiedribai/mediciniskas-ierices/kliniskie-petijumi |publisher=Z\u0101\u013cu valsts a\u0123ent\u016bra |accessdate={{dat|2025|2|21||bez}}}}</ref><ref>{{t\u012bmek\u013ca atsauce |title=Statistikas dati |url=https://www.spkc.gov.lv/lv/statistikas-dati |publisher=Slim\u012bbu profilakses un kontroles centrs |accessdate={{dat|2025|2|21||bez}}}}</ref> [[soci\u0101l\u0101s zin\u0101tnes|soci\u0101laj\u0101s zin\u0101tn\u0113s</ins>]<ins class=\"diffchange diffchange-inline\">] \u2014 izp\u0113t\u012bt sabiedr\u012bbas procesus un tendences</ins>, <ins class=\"diffchange diffchange-inline\">bet [[ekonomika|ekonomik\u0101]] un [[finanses|finans\u0113s]] \u2014 veikt [[tirgus anal\u012bze|tirgus anal\u012bzi]] un [[riska nov\u0113rt\u0113\u0161ana|riska nov\u0113rt\u0113\u0161anu]]. Ar\u012b [[m\u0101ksl\u012bgais intelekts]] un lielo datu anal\u012bze balst\u0101s uz statistikas metod\u0113m, padarot to </ins>par <ins class=\"diffchange diffchange-inline\">neaizvietojamu r\u012bku m\u016bsdienu zin\u0101tn\u0113 un tehnolo\u0123ij\u0101s</ins>.<ins class=\"diffchange diffchange-inline\"><ref>{{t\u012bmek\u013ca atsauce |title=ROLE OF STATISTICS IN ARTIFICIAL INTELLIGENCE |url=https://www.ijeast.com/papers/96-98%2C%20Tesma0712%2CIJEAST.pdf |website=ijeast.com |publisher=International Journal of Engineering Applied Sciences and Technology |accessdate={{dat|2025|2|21||bez}}}}</ref></ins></div></td></tr>\n<tr><td class=\"diff-marker\"></td><td class=\"diff-context diff-side-deleted\"><br></td><td class=\"diff-marker\"></td><td class=\"diff-context diff-side-added\"><br></td></tr>\n<tr><td class=\"diff-marker\" data-marker=\"\u2212\"></td><td class=\"diff-deletedline diff-side-deleted\"><div>== <del class=\"diffchange diffchange-inline\">Pirmie so\u013ci </del>==</div></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>== <ins class=\"diffchange diffchange-inline\">Statistikas pamatj\u0113dzieni </ins>==</div></td></tr>\n<tr><td class=\"diff-marker\" data-marker=\"\u2212\"></td><td class=\"diff-deletedline diff-side-deleted\"><div><del class=\"diffchange diffchange-inline\">* </del>[https://www.<del class=\"diffchange diffchange-inline\">mediawiki</del>.org/<del class=\"diffchange diffchange-inline\">wiki</del>/<del class=\"diffchange diffchange-inline\">Special</del>:<del class=\"diffchange diffchange-inline\">MyLanguage</del>/<del class=\"diffchange diffchange-inline\">Manual</del>:<del class=\"diffchange diffchange-inline\">Configuration_settings Konfigur\u0101cijas iesp\u0113ju saraksts</del>]</div></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Statistika balst\u0101s uz vair\u0101kiem b\u016btiskiem j\u0113dzieniem, kas nosaka [[datu anal\u012bze]]s procesu un interpret\u0101ciju. \u0160ie j\u0113dzieni ietver [[statistiskais kopums|statistisko kopumu]] un [[datu izlase|datu izlasi]], parametrus un statistikas r\u0101d\u012bt\u0101jus, k\u0101 ar\u012b datu tipus.</ins></div></td></tr>\n<tr><td class=\"diff-marker\" data-marker=\"\u2212\"></td><td class=\"diff-deletedline diff-side-deleted\"><div>* [https://<del class=\"diffchange diffchange-inline\">www</del>.<del class=\"diffchange diffchange-inline\">mediawiki</del>.<del class=\"diffchange diffchange-inline\">org</del>/<del class=\"diffchange diffchange-inline\">wiki</del>/<del class=\"diffchange diffchange-inline\">Special</del>:<del class=\"diffchange diffchange-inline\">MyLanguage</del>/<del class=\"diffchange diffchange-inline\">Manual</del>:<del class=\"diffchange diffchange-inline\">FAQ MediaWiki J&A</del>]</div></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td class=\"diff-marker\" data-marker=\"\u2212\"></td><td class=\"diff-deletedline diff-side-deleted\"><div>* [https://<del class=\"diffchange diffchange-inline\">lists</del>.<del class=\"diffchange diffchange-inline\">wikimedia</del>.<del class=\"diffchange diffchange-inline\">org</del>/<del class=\"diffchange diffchange-inline\">postorius</del>/<del class=\"diffchange diffchange-inline\">lists</del>/<del class=\"diffchange diffchange-inline\">mediawiki</del>-<del class=\"diffchange diffchange-inline\">announce</del>.<del class=\"diffchange diffchange-inline\">lists</del>.<del class=\"diffchange diffchange-inline\">wikimedia</del>.<del class=\"diffchange diffchange-inline\">org</del>/ <del class=\"diffchange diffchange-inline\">Parakst\u012bties </del>uz <del class=\"diffchange diffchange-inline\">pazi\u0146ojumiem </del>par <del class=\"diffchange diffchange-inline\">jaun\u0101m MediaWiki versij\u0101m</del>]</div></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">[[Statistikais kopums]] apz\u012bm\u0113 visu iesp\u0113jamo objektu vai indiv\u012bdu kopumu, kuru \u012bpa\u0161\u012bbas tiek p\u0113t\u012btas, piem\u0113ram, ja tiek analiz\u0113ts Latvijas iedz\u012bvot\u0101ju vid\u0113jais vecums, tad statistikais kopums ir visi [[Latvijas demogr\u0101fija|Latvijas iedz\u012bvot\u0101ji]]. T\u0101 k\u0101 bie\u017ei vien nav iesp\u0113jams ieg\u016bt datus par visiem kopas elementiem, tiek izmantota [[datu izlase]] \u2014 maz\u0101ka, reprezentat\u012bva statistisk\u0101 kopuma da\u013ca, kas tiek p\u0113t\u012bta, lai izdar\u012btu secin\u0101jumus par visu kopu. Pareizi izv\u0113l\u0113ta izlase pal\u012bdz veikt ticamus visp\u0101rin\u0101jumus, un t\u0101s kvalit\u0101te ir atkar\u012bga no izlases metodes, piem\u0113ram, nejau\u0161\u0101s vai stratific\u0113t\u0101s izlases.<ref>{{t\u012bmek\u013ca atsauce |author1=Andrejs Geske, Andris Gr\u012bnfelds |title=Izgl\u012bt\u012bbas p\u0113t\u012bjumu aptaujas \u2013 no izveido\u0161anas l\u012bdz datu apstr\u0101dei |url=https://www.psk.lu.lv/uploads/rjcj6piL/PPMF-18_Geske-Grinfelds_001-168_GATAVS_a.pdf |publisher=Latvijas Universit\u0101te - Pedago\u0123ijas, psiholo\u0123ias un m\u0101kslas fakult\u0101te |accessdate={{dat|2025|2|21||bez}}}}</ref><ref>{{t\u012bmek\u013ca atsauce |title=Metodiskie nor\u0101d\u012bjumi zin\u0101tnisk\u0101 darba izstr\u0101dei psiholo\u0123ij\u0101 |url=https://du.lv/wp-content/uploads/2023/12/Metodiskie-noradijumi-zin-darba-izstrade-PSIHOLOGIJA_2023.pdf |publisher=Daugavpils Universit\u0101te Humanit\u0101ro un soci\u0101lo zin\u0101t\u0146u fakult\u0101te Izgl\u012bt\u012bbas un psiholo\u0123ijas katedra |accessdate={{dat|2025|2|21||bez}}}}</ref> Nejau\u0161\u0101s izlases izmanto\u0161ana nodro\u0161ina liel\u0101ku rezult\u0101tu visp\u0101rin\u0101m\u012bbu, savuk\u0101rt stratific\u0113t\u0101 izlase \u013cauj prec\u012bz\u0101k atspogu\u013cot da\u017e\u0101du apak\u0161grupu \u012bpatn\u012bbas p\u0113t\u0101maj\u0101 datu kop\u0101.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Parametri ir skaitliskas \u012bpa\u0161\u012bbas, kas raksturo visu statistisko kopumu, piem\u0113ram, kopas [[aritm\u0113tiskais vid\u0113jais|aritm\u0113tisko vid\u0113jo]] vai [[dispersija (statistika)|dispersiju]]. T\u0101 k\u0101 kopas parametru noteik\u0161ana bie\u017ei ir sare\u017e\u0123\u012bta, tiek izmantoti statistikas r\u0101d\u012bt\u0101ji \u2014 [[izlases dati]], kas sniedz aptuvenu nov\u0113rt\u0113jumu par statistisk\u0101 kopuma parametriem. Galvenie statistikas r\u0101d\u012bt\u0101ji ir vid\u0113j\u0101 v\u0113rt\u012bba (datu kopas [[Centr\u0101l\u0101s tendences r\u0101d\u012bt\u0101js|centr\u0101l\u0101 tendence]], piem\u0113ram, [[aritm\u0113tiskais vid\u0113jais]], [[medi\u0101na (statistika)|medi\u0101na]], [[moda (statistika)|moda]]), [[dispersija (statistika)|dispersija]] un [[standartnovirze]] (r\u0101d\u012bt\u0101ji, kas raksturo datu izkliedi ap vid\u0113jo v\u0113rt\u012bbu), [[korel\u0101cija]]s koeficients (lielums, kas par\u0101da, cik liel\u0101 m\u0113r\u0101 divi main\u012bgie ir savstarp\u0113ji saist\u012bti) un [[datu tips|datu tipi]] (kvantitat\u012bvie un kvalitat\u012bvie dati).</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Statistik\u0101 [[dati]] tiek iedal\u012bti div\u0101s galvenaj\u0101s kategorij\u0101s \u2014 kvantitat\u012bvajos datos un kvalitat\u012bvajos datos. Kvantitat\u012bvie dati ir [[skaitlis|skaitliski]] izsak\u0101mi [[lielums|lielumi]], kas raksturo m\u0113r\u0101mas \u012bpa\u0161\u012bbas. Tos var t\u0101l\u0101k iedal\u012bt diskr\u0113tajos datos (skait\u0101mi lielumi, kas var pie\u0146emt tikai konkr\u0113tas v\u0113rt\u012bbas, piem\u0113ram, skol\u0113nu skaits klas\u0113) un nep\u0101rtrauktajos datos (lielumi, kas var pie\u0146emt jebkuru v\u0113rt\u012bbu noteikt\u0101 interv\u0101l\u0101, piem\u0113ram, [[cilv\u0113ka augums]], [[temperat\u016bra]]). Savuk\u0101rt kvalitat\u012bvie dati (kategoriskie dati) raksturo \u012bpa\u0161\u012bbas vai kategorijas, kuras nevar tie\u0161i izteikt skait\u013cos. Tie var b\u016bt nomin\u0101lie dati (dati bez noteiktas k\u0101rt\u012bbas, piem\u0113ram, [[dzimte (sociolo\u0123ija)|dzimums]], [[acu kr\u0101sa]], [[automa\u0161\u012bnas marka]]) un ordin\u0101lie dati (dati ar noteiktu sec\u012bbu, bet bez skaitliskas noz\u012bmes starp kategorij\u0101m, piem\u0113ram, apmierin\u0101t\u012bbas l\u012bmenis anket\u0101 \"neapmierin\u0101ts\", \"neitr\u0101ls\", \"apmierin\u0101ts\"). Pareiza datu tipu izpratne ir b\u016btiska, jo t\u0101 nosaka, k\u0101das statistikas metodes un anal\u012bzes pieejas ir piem\u0113rotas konkr\u0113tajam p\u0113t\u012bjumam.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">== Apraksto\u0161\u0101 statistika ==</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">{{pamatraksts|apraksto\u0161\u0101 statistika}}</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">[[Apraksto\u0161\u0101 statistika]] ir statistikas nozare, kas nodarbojas ar datu apkopo\u0161anu, sak\u0101rto\u0161anu un raksturo\u0161anu, lai tos b\u016btu viegl\u0101k interpret\u0113t. T\u0101 ietver da\u017e\u0101dus r\u0101d\u012bt\u0101jus, kas pal\u012bdz noteikt datu kopas galven\u0101s \u012bpa\u0161\u012bbas, piem\u0113ram, centr\u0101lo tendenci, izkliedi un saist\u012bbu starp main\u012bgajiem.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Vid\u0113j\u0101s v\u0113rt\u012bbas raksturo datu kopas [[centr\u0101l\u0101s tendences r\u0101d\u012bt\u0101js|centr\u0101lo tendenci]], nor\u0101dot, ap kuru v\u0113rt\u012bbu dati koncentr\u0113jas. Galven\u0101s vid\u0113j\u0101s v\u0113rt\u012bbas ir [[aritm\u0113tiskais vid\u0113jais]], [[medi\u0101na (statistika)|medi\u0101na]] un [</ins>[<ins class=\"diffchange diffchange-inline\">moda (statistika)|moda]]. Aritm\u0113tiskais vid\u0113jais tiek apr\u0113\u0137in\u0101ts k\u0101 visu v\u0113rt\u012bbu summa, kas dal\u012bta ar v\u0113rt\u012bbu skaitu. Ja dati ir <math>{x_1, x_2, \\dots, x_n}</math>, tad aritm\u0113tiskais vid\u0113jais ir:</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">:<math>\\bar{x}=\\frac{1}{n}\\left (\\sum_{i=1}^n{x_i}\\right)=\\frac{x_1+x_2+\\dots+x_n}{n}</math></ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Aritm\u0113tisko vid\u0113jo ietekm\u0113 ekstrem\u0101las v\u0113rt\u012bbas (izteikti lieli vai mazi skait\u013ci).<ref>{{t\u012bmek\u013ca atsauce |title=Why can an arithmetic mean lead to misleading conclusions? |url=</ins>https://www.<ins class=\"diffchange diffchange-inline\">ck12</ins>.org/<ins class=\"diffchange diffchange-inline\">flexi/cbse-math/rational-numbers/why-can-an-arithmetic-mean-lead-to-misleading-conclusions/ |website=ck12.org |accessdate={{dat|2025|2|21||bez}} |language=en}}<</ins>/<ins class=\"diffchange diffchange-inline\">ref> Medi\u0101na ir datu kopas centr\u0101l\u0101 v\u0113rt\u012bba, ja dati ir sak\u0101rtoti augo\u0161\u0101 sec\u012bb\u0101. Ja datu skaits ir nep\u0101ra, medi\u0101na ir vid\u0113j\u0101 v\u0113rt\u012bba, bet, ja p\u0101ra, t\u0101 ir divu vid\u0113jo v\u0113rt\u012bbu aritm\u0113tiskais vid\u0113jais. Medi\u0101na ir iztur\u012bg\u0101ka pret \u0101r\u0113jiem nov\u0113rojumiem nek\u0101 aritm\u0113tiskais vid\u0113jais. Moda ir v\u0113rt\u012bba, kas datu kop\u0101 sastopama visbie\u017e\u0101k. Datu kopai var b\u016bt viena, vair\u0101kas vai neviena moda (ja visas v\u0113rt\u012bbas ir unik\u0101las). Modu bie\u017ei izmanto kvalitat\u012bviem un diskr\u0113tiem datiem.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Izkliedes r\u0101d\u012bt\u0101ji raksturo, cik liel\u0101 m\u0113r\u0101 dati at\u0161\u0137iras no vid\u0113j\u0101s v\u0113rt\u012bbas. Divi galvenie r\u0101d\u012bt\u0101ji ir [[dispersija (statistika)|dispersija]] un [[standartnovirze]]. Dispersija (<math>{\\sigma^2}</math>) ir vid\u0113j\u0101 kvadr\u0101tisk\u0101 novirze no aritm\u0113tisk\u0101 vid\u0113j\u0101 lieluma:</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">:<math>{{\\sigma^2}=\\frac{\\sum ^n _{i=1}{(x_{i}-\\bar{x})^2}}{n}}</math></ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Ja dati attiecas uz izlasi, nevis visu kopu, tad izmantot\u0101 formula ir:</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">:<math>{{s^2}=\\frac{\\sum ^n _{i=1}{(x_{i}-\\bar{x})^2}}{n-1}}</math></ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">, kur <math>{n-1}</math> ir br\u012bv\u012bbas pak\u0101pes korekcija.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Standartnovirze (<math>\\sigma</math> vai <math>s</math>) ir dispersijas [[kvadr\u0101tsakne]], kas nor\u0101da, cik vid\u0113ji lielas ir novirzes no vid\u0113j\u0101s v\u0113rt\u012bbas:</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">: <math>\\sigma=\\sqrt{\\sigma^2}</math></ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Standartnovirze tiek m\u0113r\u012bta taj\u0101s pa\u0161\u0101s vien\u012bb\u0101s k\u0101 s\u0101kotn\u0113jie dati un t\u0101d\u0113\u013c ir viegl\u0101k interpret\u0113jama nek\u0101 dispersija.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">[[Korel\u0101cija]]s koeficients raksturo sakar\u012bbu starp diviem main\u012bgajiem. Visbie\u017e\u0101k izmantotais ir [[P\u012brsona korel\u0101cijas koeficients]] (<math>r</math>), kas tiek apr\u0113\u0137in\u0101ts \u0161\u0101di</ins>:</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">: <math>r =\\frac{\\sum ^n _{i=1}(x_i - \\bar{x})(y_i - \\bar{y})}{\\sqrt{\\sum ^n _{i=1}(x_i - \\bar{x})^2} \\sqrt{\\sum ^n _{i=1}(y_i - \\bar{y})^2}}<</ins>/<ins class=\"diffchange diffchange-inline\">math></ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Korel\u0101cijas koeficients var sv\u0101rst\u012bties no -1 l\u012bdz 1</ins>:</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* ja <math>{r>0}</math>, tad past\u0101v pozit\u012bva korel\u0101cija (kad viens main\u012bgais palielin\u0101s, ar\u012b otrs palielin\u0101s).</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* ja <math>{r<0}</math>, tad past\u0101v negat\u012bva korel\u0101cija (kad viens main\u012bgais palielin\u0101s, otrs samazin\u0101s).</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* ja <math>{r=0}</math>, tad nav line\u0101ras sakar\u012bbas starp main\u012bgajiem.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">\u0160ie apraksto\u0161\u0101s statistikas r\u0101d\u012bt\u0101ji ir b\u016btiski datu anal\u012bz\u0113, jo tie pal\u012bdz interpret\u0113t un vizualiz\u0113t datu kopu strukt\u016bru un tendences. Inform\u0101cija nereti tiek pasniegta [[tabula|tabul\u0101</ins>]<ins class=\"diffchange diffchange-inline\">], [[grafiks|grafik\u0101]] vai [[diagramma|diagramm\u0101]].</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">== Secino\u0161\u0101 statistika ==</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">[[Secino\u0161\u0101 statistika]] jeb indukt\u012bv\u0101 statistika ir statistikas nozare, kas \u013cauj izdar\u012bt visp\u0101rin\u0101jumus par [[statistiskais kopums|statistisko kopumu]], balstoties uz [[izlases dati]]em. T\u0101 ietver metodes, kas pal\u012bdz p\u0101rbaud\u012bt [[hipot\u0113ze]]s, noteikt [[datu ticam\u012bba]]s robe\u017eas un izv\u0113rt\u0113t sakar\u012bbas starp [[main\u012bgais|main\u012bgajiem]]. At\u0161\u0137ir\u012bb\u0101 no apraksto\u0161\u0101s statistikas, kas tikai apkopo un raksturo datus, secino\u0161\u0101 statistika, lai pie\u0146emtu l\u0113mumus un izdar\u012btu prognozes, izmanto [[varb\u016bt\u012bbu teorija|varb\u016bt\u012bbu teoriju]].</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">[[Hipot\u0113\u017eu p\u0101rbaude]] ir statistiska metode, ko izmanto, lai noteiktu, vai izlases dati sniedz pietiekamu pier\u0101d\u012bjumu tam, ka k\u0101ds pie\u0146\u0113mums par kopumu ir patiess. Hipot\u0113\u017eu p\u0101rbaudes proces\u0101 tiek formul\u0113tas divas hipot\u0113zes:</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* nulles hipot\u0113ze (<math>H_0</math>) ir pie\u0146\u0113mums, ka starp main\u012bgajiem nav b\u016btiskas at\u0161\u0137ir\u012bbas vai sakar\u012bbas;</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>* <ins class=\"diffchange diffchange-inline\">alternat\u012bv\u0101 hipot\u0113ze (<math>H_1</math>) ir pie\u0146\u0113mums, ka past\u0101v b\u016btiska at\u0161\u0137ir\u012bba vai sakar\u012bba.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">P\u0101rbaude ietver statistisk\u0101 testa apr\u0113\u0137in\u0101\u0161anu un rezult\u0101ta sal\u012bdzin\u0101\u0161anu ar iepriek\u0161 noteiktu b\u016btiskuma l\u012bmeni (\u03b1), kas visbie\u017e\u0101k ir 0,05 (5%). Ja apr\u0113\u0137in\u0101t\u0101 p v\u0113rt\u012bba ir maz\u0101ka par \u03b1, tad nulles hipot\u0113ze tiek noraid\u012bta, pie\u0146emot alternat\u012bvo hipot\u0113zi.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">[</ins>[<ins class=\"diffchange diffchange-inline\">Ticam\u012bbas interv\u0101ls|Ticam\u012bbas interv\u0101li]] tiek izmantoti, lai noteiktu, k\u0101d\u0101 diapazon\u0101 ar noteiktu ticam\u012bbas pak\u0101pi (piem\u0113ram, 95%), balstoties uz izlases datiem, atrodas kopuma parametrs.<ref>{{t\u012bmek\u013ca atsauce |author1=Kerby Shedden |title=Confidence intervals |url=</ins>https://<ins class=\"diffchange diffchange-inline\">dept.stat.lsa</ins>.<ins class=\"diffchange diffchange-inline\">umich</ins>.<ins class=\"diffchange diffchange-inline\">edu/~kshedden/stats206</ins>/<ins class=\"diffchange diffchange-inline\">ks_slides</ins>/<ins class=\"diffchange diffchange-inline\">confidence_intervals.html |website=dept.stat.lsa.umich.edu |accessdate={{dat|2025|2|21||bez}} |language=en}}</ref> Svar\u012bgi atz\u012bm\u0113t, ka 95% ticam\u012bbas interv\u0101ls nenoz\u012bm\u0113, ka past\u0101v 95% varb\u016bt\u012bba, ka konkr\u0113taj\u0101 apr\u0113\u0137in\u0101taj\u0101 interv\u0101l\u0101 atrodas patiesais parametrs. Dr\u012bz\u0101k tas noz\u012bm\u0113, ka 95% no \u0161\u0101di konstru\u0113tajiem interv\u0101liem, atk\u0101rtoti veicot izlases, satur\u0113s patieso parametru.<ref>{{t\u012bmek\u013ca atsauce |title=Theoretical justification for confidence intervals |url=https</ins>:/<ins class=\"diffchange diffchange-inline\">/ds1.datascience.uchicago.edu/14/1/ConfidenceIntervals_1_Theory.html |website=ds1.datascience.uchicago.edu |accessdate={{dat|2025|2|21||bez}} |language=en}}</ref> Parasti ticam\u012bbas interv\u0101ls vid\u0113jai v\u0113rt\u012bbai tiek apr\u0113\u0137in\u0101ts \u0161\u0101di:</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">: <math>\\bar{x}\\pm z\\cdot\\frac{s}\\sqrt{n}</math></ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">kur <math>\\bar{x}</math> \u2013 izlases vid\u0113j\u0101 v\u0113rt\u012bba, <math>s</math> \u2013 izlases standartnovirze, <math>n</math> \u2013 izlases lielums, <math>z</math> \u2013 kritisk\u0101 v\u0113rt\u012bba no norm\u0101l\u0101 sadal\u012bjuma, piem\u0113ram, 95% ticam\u012bbas interv\u0101lam tas ir 1,96. Ja ticam\u012bbas interv\u0101ls nesatur nulles v\u0113rt\u012bbu, tas var liecin\u0101t par b\u016btisku at\u0161\u0137ir\u012bbu starp sal\u012bdzin\u0101taj\u0101m grup\u0101m.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Statistiskie testi ir metodes, kas pal\u012bdz noteikt, vai dati atbalsta noteiktu hipot\u0113zi. Popul\u0101r\u0101kie testi ir \u0161\u0101di</ins>:</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* [[T tests</ins>]<ins class=\"diffchange diffchange-inline\">] tiek izmantots, lai sal\u012bdzin\u0101tu divu grupu vid\u0113j\u0101s v\u0113rt\u012bbas un noteiktu, vai t\u0101s b\u016btiski at\u0161\u0137iras. Past\u0101v neatkar\u012bgo izla\u0161u T tests, kur sal\u012bdzina divu neatkar\u012bgu grupu vid\u0113j\u0101s v\u0113rt\u012bbas, un savienoto izla\u0161u T tests, kur sal\u012bdzina to pa\u0161u subjektu r\u0101d\u012bt\u0101jus pirms un p\u0113c k\u0101da notikuma.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>* [<ins class=\"diffchange diffchange-inline\">[H\u012b kvadr\u0101ta krit\u0113rijs|H\u012b kvadr\u0101ta (\u03c7\u00b2) krit\u0113riju]] izmanto, lai p\u0101rbaud\u012btu saist\u012bbu starp diviem kategoriskiem main\u012bgajiem.<ref>{{t\u012bmek\u013ca atsauce |title=Chi-Square Test of Independence |url=</ins>https://<ins class=\"diffchange diffchange-inline\">www</ins>.<ins class=\"diffchange diffchange-inline\">jmp</ins>.<ins class=\"diffchange diffchange-inline\">com/en_us</ins>/<ins class=\"diffchange diffchange-inline\">statistics-knowledge-portal</ins>/<ins class=\"diffchange diffchange-inline\">chi-square-test</ins>/<ins class=\"diffchange diffchange-inline\">chi</ins>-<ins class=\"diffchange diffchange-inline\">square-test-of-independence</ins>.<ins class=\"diffchange diffchange-inline\">html |website=jmp</ins>.<ins class=\"diffchange diffchange-inline\">com |accessdate={{dat|2025|2|21||bez}} |language=en}}</ref> Tas tiek bie\u017ei izmantots aptauju un frekven\u010du datu anal\u012bz\u0113</ins>. <ins class=\"diffchange diffchange-inline\">\u0160is tests nosaka, vai past\u0101v statistiski noz\u012bm\u012bga saist\u012bba starp diviem kategoriskiem main\u012bgajiem, piem\u0113ram, [[dzimums|dzimumu]] un [[politisk\u0101 partija|politisko partiju]] pieder\u012bbu. Lai veiktu \u0161o testu, tiek izveidota [[kontingen\u010du tabula]], kur\u0101 dati tiek klasific\u0113ti p\u0113c diviem kategoriskiem main\u012bgajiem, un katra \u0161\u016bna atspogu\u013co konkr\u0113tu kategoriju p\u0101ru gad\u012bjumu skaitu. P\u0113c tam tiek apr\u0113\u0137in\u0101ta \u03c7\u00b2 statistika, lai noteiktu, vai nov\u0113rot\u0101s v\u0113rt\u012bbas b\u016btiski at\u0161\u0137iras no gaid\u0101maj\u0101m v\u0113rt\u012bb\u0101m, pie\u0146emot, ka main\u012bgie ir neatkar\u012bgi. Ja apr\u0113\u0137in\u0101t\u0101 \u03c7\u00b2 v\u0113rt\u012bba p\u0101rsniedz kritisko v\u0113rt\u012bbu, m\u0113s varam noraid\u012bt nulles hipot\u0113zi un secin\u0101t, ka past\u0101v saist\u012bba starp \u0161iem diviem main\u012bgajiem.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* [[Dispersiju anal\u012bze]] (ANOVA, ''Analysis of Variance'') ir statistikas tests, ko lieto, lai sal\u012bdzin\u0101tu vair\u0101k nek\u0101 divu grupu vid\u0113j\u0101s v\u0113rt\u012bbas un noteiktu, vai past\u0101v b\u016btiska at\u0161\u0137ir\u012bba starp t\u0101m.<ref>{{t\u012bmek\u013ca atsauce |title=Lesson 10: Introduction to ANOVA |url=https://online.stat.psu.edu/stat500/lesson/10 |publisher=STAT 500 |accessdate={{dat|2025|2|21||bez}} |language=en}}<</ins>/<ins class=\"diffchange diffchange-inline\">ref> \u0160\u012b metode analiz\u0113 datu kopas dispersiju, sadalot to komponent\u0113s, kas saist\u012btas ar da\u017e\u0101diem vari\u0101cijas avotiem, lai noskaidrotu, vai nov\u0113rot\u0101s at\u0161\u0137ir\u012bbas starp grup\u0101m ir statistiski noz\u012bm\u012bgas. Var b\u016bt vienfaktora dispersiju anal\u012bze, kur sal\u012bdzina vienu faktoru starp vair\u0101k\u0101m grup\u0101m, un daudzfaktoru dispersiju anal\u012bze, kur analiz\u0113 vair\u0101k nek\u0101 viena faktora ietekmi </ins>uz <ins class=\"diffchange diffchange-inline\">atkar\u012bgo main\u012bgo.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">Secino\u0161\u0101s statistikas metodes ir fundament\u0101las zin\u0101tniskajos p\u0113t\u012bjumos, jo t\u0101s \u013cauj pie\u0146emt pamatotus l\u0113mumus un veikt ticamus secin\u0101jumus </ins>par <ins class=\"diffchange diffchange-inline\">liel\u0101k\u0101m kop\u0101m, balstoties uz ierobe\u017eotiem izlases datiem.</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">== Citas statistikas metodes ==</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* [[Faktoru anal\u012bze]]</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* [[Korel\u0101cija|Korel\u0101ciju anal\u012bze]]</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* [[Neparametrisk\u0101 statistika]]</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* [[Kovari\u0101cijas anal\u012bze]]</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">== Skat\u012bt ar\u012b ==</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* [[Norm\u0101lais sadal\u012bjums]] (Gausa sadal\u012bjums)</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">== Atsauces ==</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">{{atsauces}}</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">== \u0100r\u0113j\u0101s saites ==</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">{{sisterlinks-inline}}</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">{{enciklop\u0113diju \u0101r\u0113j\u0101s saites}}</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* [http://www.statsoft.com/textbook/stathome.html Electronic Statistics Textbook] {{Webarchive|url=https://web.archive.org/web/20090227054024/http://www.statsoft.com/textbook/stathome.html |date={{dat|2009|02|27||bez}} }}</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">* [http://www.csb.lv LR Centr\u0101l\u0101 statistikas p\u0101rvalde]</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">{{autoritat\u012bv\u0101 vad\u012bba}}</ins></div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div>\u00a0</div></td></tr>\n<tr><td colspan=\"2\" class=\"diff-side-deleted\"></td><td class=\"diff-marker\" data-marker=\"+\"></td><td class=\"diff-addedline diff-side-added\"><div><ins class=\"diffchange diffchange-inline\">[[Kategorija:Statistika| ]</ins>]</div></td></tr>\n"
}
}