{"id":133047,"date":"2024-06-15T05:38:40","date_gmt":"2024-06-15T02:38:40","guid":{"rendered":"https:\/\/milliycha.uz\/?p=133047"},"modified":"2024-06-15T05:38:41","modified_gmt":"2024-06-15T02:38:41","slug":"taqsimot-2","status":"publish","type":"post","link":"https:\/\/milliycha.uz\/kr\/taqsimot-2\/","title":{"rendered":"Taqsimot"},"content":{"rendered":"\n<p>Taqsimot (matematikada) \u2014 ehtimollar nazariyasi va matematik statistikaning asosiy tushunchalaridan biri. Ehtimollar nazariyasi va matematik statistikaning aniq masalalarida uchraydigan T., odatda, diskret, ya&#8217;ni alohida ehtimolliklar bilan aniklanadi (mas., binomial, geometrik, polinomial va Puasson taqsimotlari) yoki zichlik funktsiyalari bilan aniklanuvchi absolyut uzluksiz tipdagi (mas., normal, ko&#8217;rsatkichli,tekis)taqsimotlardir.Ba&#8217;zi taqsimotlar tasodifiy mikdorlarni funktsional almashtirish natijasida hosil bo&#8217;lgan tasodifiy miqdorlarning aniq yoki asimptotik (limit) taqsimoti sifatida ham hosil qilinishi mumkin. Bunday taqsimotlar (xmkvadrat taqsimot, Styudent taqsimoti, Fisherning Ftaqsimoti) odatda, matematik statistikada keng qo&#8217;llaniladi. Tabiat, jamiyat, iqtisodiyot va shu kabi sohalarda uchraydigan tasodifiy jarayonlarni ifodalashda hosil bo&#8217;luvchi T.lar, odatda, noma&#8217;lum bo&#8217;lib, ular o&#8217;rniga statistic analoglari \u2014 empirik T. qo&#8217;llaniladi. Bu T.lar tasodifiy mikdorlarning sonli xarakteristikalarini (matematik kutilma, dispersiya, korrelyasiya) taqribiy aniqlash (statistik baholash)da va statistik gipotezalarni tekshirishda keng qo&#8217;llaniladi.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Taqsimot (matematikada) \u2014 ehtimollar nazariyasi va matematik statistikaning asosiy tushunchalaridan biri. Ehtimollar nazariyasi va matematik statistikaning aniq masalalarida uchraydigan T., odatda, diskret, ya&#8217;ni alohida ehtimolliklar bilan aniklanadi (mas., binomial, geometrik, &hellip; <a href=\"https:\/\/milliycha.uz\/kr\/taqsimot-2\/\" class=\"more-link\">Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":99837,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[187],"tags":[],"class_list":["post-133047","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-t-harfi","entry"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"kr","enabled_languages":["uz","kr","ru"],"languages":{"uz":{"title":true,"content":true,"excerpt":false},"kr":{"title":false,"content":false,"excerpt":false},"ru":{"title":false,"content":false,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/posts\/133047","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/comments?post=133047"}],"version-history":[{"count":1,"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/posts\/133047\/revisions"}],"predecessor-version":[{"id":133055,"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/posts\/133047\/revisions\/133055"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/media\/99837"}],"wp:attachment":[{"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/media?parent=133047"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/categories?post=133047"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/milliycha.uz\/kr\/wp-json\/wp\/v2\/tags?post=133047"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}