Bu e\u011fitimde Python’da normal CDF de\u011ferlerinin nas\u0131l hesaplanaca\u011f\u0131 ve \u00e7izilece\u011fi a\u00e7\u0131klanmaktad\u0131r.<\/span><\/p>\n Python’da normal CDF olas\u0131l\u0131klar\u0131n\u0131 hesaplaman\u0131n en kolay yolu SciPy<\/a> k\u00fct\u00fcphanesindeki norm.cdf()<\/strong> fonksiyonunu kullanmakt\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, standart normal da\u011f\u0131l\u0131mda bir rastgele de\u011fi\u015fkenin 1,96’dan k\u00fc\u00e7\u00fck bir de\u011fer alma olas\u0131l\u0131\u011f\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bir rastgele de\u011fi\u015fkenin standart normal da\u011f\u0131l\u0131mda 1,96’dan k\u00fc\u00e7\u00fck bir de\u011fer alma olas\u0131l\u0131\u011f\u0131 yakla\u015f\u0131k 0,975’tir<\/strong> .<\/span><\/p>\n Ayr\u0131ca bir rastgele de\u011fi\u015fkenin 1,96’dan b\u00fcy\u00fck bir de\u011fer alma olas\u0131l\u0131\u011f\u0131n\u0131 bu de\u011feri 1’den \u00e7\u0131kararak da bulabiliriz:<\/span><\/p>\n Bir rastgele de\u011fi\u015fkenin standart normal da\u011f\u0131l\u0131mda 1,96’dan b\u00fcy\u00fck bir de\u011fer alma olas\u0131l\u0131\u011f\u0131 yakla\u015f\u0131k 0,025’tir<\/strong> .<\/span><\/p>\n A\u015fa\u011f\u0131daki kod Python’da normal bir CDF’nin nas\u0131l \u00e7izilece\u011fini g\u00f6sterir:<\/span> <\/p>\n X ekseni standart normal da\u011f\u0131l\u0131ma uyan bir rastgele de\u011fi\u015fkenin de\u011ferlerini g\u00f6sterirken, y ekseni bir rastgele de\u011fi\u015fkenin x ekseninde g\u00f6sterilen de\u011ferden daha d\u00fc\u015f\u00fck bir de\u011fer alma olas\u0131l\u0131\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n \u00d6rne\u011fin x = 1,96’ya bakarsak x’in 1,96’dan k\u00fc\u00e7\u00fck olma ihtimalinin k\u00fcm\u00fclatif olas\u0131l\u0131\u011f\u0131n\u0131n yakla\u015f\u0131k 0,975<\/strong> oldu\u011funu g\u00f6r\u00fcr\u00fcz.<\/span><\/p>\n Normal CDF grafi\u011finin eksenlerinin renklerini ve etiketlerini de de\u011fi\u015ftirmekten \u00e7ekinmeyin:<\/span> <\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Python’da Normal Da\u011f\u0131l\u0131m Nas\u0131l Olu\u015fturulur<\/a> K\u00fcm\u00fclatif da\u011f\u0131l\u0131m fonksiyonu ( CDF ) bize bir rastgele de\u011fi\u015fkenin belirli bir de\u011ferden k\u00fc\u00e7\u00fck veya ona e\u015fit bir de\u011fer alma olas\u0131l\u0131\u011f\u0131n\u0131 s\u00f6yler. Bu e\u011fitimde Python’da normal CDF de\u011ferlerinin nas\u0131l hesaplanaca\u011f\u0131 ve \u00e7izilece\u011fi a\u00e7\u0131klanmaktad\u0131r. \u00d6rnek 1: Python’da Normal CDF Olas\u0131l\u0131klar\u0131n\u0131 Hesaplay\u0131n Python’da normal CDF olas\u0131l\u0131klar\u0131n\u0131 hesaplaman\u0131n en kolay yolu SciPy k\u00fct\u00fcphanesindeki norm.cdf() fonksiyonunu kullanmakt\u0131r. A\u015fa\u011f\u0131daki kod, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-2999","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek 1: Python’da Normal CDF Olas\u0131l\u0131klar\u0131n\u0131 Hesaplay\u0131n<\/strong><\/span><\/h3>\n
from<\/span> scipy. stats<\/span> import<\/span> norm\n<\/span>\n#calculate probability that random value is less than 1.96 in normal CDF<\/span>\nnorm. cdf<\/span> ( 1.96<\/span> )\n\n<\/span>0.9750021048517795\n<\/strong><\/pre>\n from<\/span> scipy. stats<\/span> import<\/span> norm\n<\/span>\n#calculate probability that random value is greater than 1.96 in normal CDF<\/span>\n1 - norm. cdf<\/span> ( 1.96<\/span> )\n\n<\/span>0.024997895148220484\n<\/strong><\/pre>\n \u00d6rnek 2: Normal CDF’nin \u00c7izilmesi<\/strong><\/span><\/h3>\n
import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> numpy as<\/span> np\nimport<\/span> scipy. stats<\/span> as<\/span> ss\n\n#define x and y values to use for CDF\n<\/span>x = np. linspace<\/span> (-4, 4, 1000)\ny = ss. norm<\/span> . cdf<\/span> (x)\n\n#normal plot CDF\n<\/span>plt. plot<\/span> (x, y)<\/strong> <\/pre>\n![\"Python'da](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/normcdf12.jpg\")
<\/p>\n import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> numpy as<\/span> np\nimport<\/span> scipy. stats<\/span> as<\/span> ss\n\n#define x and y values to use for CDF\n<\/span>x = np. linspace<\/span> (-4, 4, 1000)\ny = ss. norm<\/span> . cdf<\/span> (x)\n\n#normal plot CDF\n<\/span>plt. plot<\/span> (x,y,color=' red<\/span> ')\nplt. title<\/span> (' Normal CDF<\/span> ')\nplt. xlabel<\/span> (' x<\/span> ')\nplt. ylabel<\/span> (' CDF<\/span> ')\n<\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/normcdf13.jpg\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Python’da Normal Da\u011f\u0131l\u0131m Nas\u0131l \u00c7izilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"