Hem Microsoft Excel hem de Google E-Tablolar, veri analizi yaparken kullanabilece\u011finiz bir dizi matematiksel ve istatistiksel i\u015flev sunar. Bu yaz\u0131m\u0131zda, istatistiksel i\u015flevlerden biri olan Olas\u0131l\u0131k<\/strong> (PROB) i\u015flevini ele alaca\u011f\u0131z. Bu i\u015flev, bir dizi de\u011fer i\u00e7inde, belirli bir olas\u0131l\u0131k da\u011f\u0131l\u0131m\u0131na g\u00f6re belirli bir sonucun g\u00f6zlemlenme olas\u0131l\u0131\u011f\u0131n\u0131 hesaplamak i\u00e7in kullan\u0131l\u0131r. <\/p>\n \u0130\u015flevin genel s\u00f6zdizimi a\u015fa\u011f\u0131daki gibidir:<\/p>\n Olas\u0131l\u0131k i\u015flevi, \u00f6zellikle istatistiksel veri analizi ve risk de\u011ferlendirmesinde \u00f6nemli bir yer tutar. \u0130\u015fte bu i\u015flevin kullan\u0131labilece\u011fi iki pratik senaryo:<\/p>\n Bir \u00f6\u011fretmen, \u00f6\u011frencilerin s\u0131nav sonu\u00e7lar\u0131n\u0131n da\u011f\u0131l\u0131m\u0131n\u0131 analiz etmek ve belirli bir puan aral\u0131\u011f\u0131n\u0131 alan \u00f6\u011frenci say\u0131s\u0131n\u0131n olas\u0131l\u0131\u011f\u0131n\u0131 hesaplamak istiyor. <\/p>\n Bu \u00f6rnekte, Bir \u00fcretim \u015firketi, \u00fcrettikleri cihazlar\u0131n ilk ay i\u00e7inde ar\u0131zalanma olas\u0131l\u0131klar\u0131 hakk\u0131nda bilgi edinmek ister. Bu bilgi, maliyet hesaplamalar\u0131 ve garanti s\u00fcre\u00e7lerinin iyile\u015ftirilmesi i\u00e7in kullan\u0131labilir. <\/p>\n Burada, i\u015flevle hesaplanan de\u011fer, \u00fcr\u00fcn\u00fcn ilk ay i\u00e7inde ar\u0131za yapma ihtimalidir. \u015eirket bu bilgiyi kullanarak, garantili \u00fcr\u00fcn de\u011fi\u015fim veya tamiri i\u00e7in ay\u0131rmalar\u0131 gereken kaynaklar\u0131 daha do\u011fru bir \u015fekilde tahmin edebilir. <\/p>\n Olas\u0131l\u0131k<\/strong> i\u015flevi, veri setlerindeki sonu\u00e7lar\u0131n belirli \u015fartlar alt\u0131nda meydana gelme olas\u0131l\u0131\u011f\u0131n\u0131 hesaplaman\u0131n yan\u0131 s\u0131ra, bu bilgileri stratejik karar alma s\u00fcrecine entegre etmek gibi \u00f6nemli bir rol oynar. E\u011fitimden \u00fcretim sekt\u00f6r\u00fcne kadar bir\u00e7ok alanda faydal\u0131 olan bu i\u015flev, Excel ve Google E-Tablolar’\u0131n g\u00fc\u00e7l\u00fc ara\u00e7lar\u0131ndan biridir. <\/p>\n","protected":false},"excerpt":{"rendered":" Bir aral\u0131ktaki de\u011ferlerin iki s\u0131n\u0131r aras\u0131nda olmas\u0131 olas\u0131l\u0131\u011f\u0131n\u0131 verir<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[582],"tags":[],"class_list":["post-15598","post","type-post","status-publish","format-standard","hentry","category-istatistik"],"acf":[],"yoast_head":"\n\u0130\u015flevin Kullan\u0131m\u0131<\/h2>\n
PROB(x_range, prob_range, lower_limit, [upper_limit]) <\/code> <\/pre>\n\n
Pratik Kullan\u0131m Senaryolar\u0131<\/h2>\n
1. S\u0131nav Sonu\u00e7lar\u0131n\u0131n De\u011ferlendirilmesi<\/h3>\n
\/\/ \u00d6rnek veri seti \/\/ S\u0131nav sonu\u00e7lar\u0131: 50, 65, 75, 80, 90 \/\/ \u0130lgili olas\u0131l\u0131klar: 0.1, 0.2, 0.25, 0.25, 0.2 \/\/ 70 ile 85 aras\u0131nda bir sonu\u00e7 alma olas\u0131l\u0131\u011f\u0131: PROB(A2:A6, B2:B6, 70, 85) <\/code> <\/pre>\nPROB<\/code> i\u015flevi kullan\u0131larak s\u0131nav sonu\u00e7lar\u0131n\u0131n 70 ile 85 puan aras\u0131nda olma olas\u0131l\u0131\u011f\u0131 hesaplan\u0131r. Bu, \u00f6\u011fretmenin e\u011fitim metodolojisini de\u011ferlendirmesine yard\u0131mc\u0131 olur. <\/p>\n2. \u00dcr\u00fcn Ar\u0131zalar\u0131 ve Garanti Taleplerini \u0130nceleme<\/h3>\n
\/\/ \u00d6rnek veri seti \/\/ Kullan\u0131m s\u00fcresi (ay): 1, 2, 6, 12 \/\/ Ar\u0131zalanma olas\u0131l\u0131klar\u0131: 0.3, 0.2, 0.1, 0.05 \/\/ Cihaz\u0131n ilk ay i\u00e7inde ar\u0131zalanma olas\u0131l\u0131\u011f\u0131: PROB(A2:A5, B2:B5, 1) <\/code> <\/pre>\nSonu\u00e7<\/h2>\n