{"id":223,"date":"2023-08-04T00:20:17","date_gmt":"2023-08-04T00:20:17","guid":{"rendered":"https:\/\/statorials.org\/id\/tabel-distribusi-normal\/"},"modified":"2023-08-04T00:20:17","modified_gmt":"2023-08-04T00:20:17","slug":"tabel-distribusi-normal","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/tabel-distribusi-normal\/","title":{"rendered":"Tabel distribusi normal"},"content":{"rendered":"

Pada artikel ini Anda akan menemukan tabel distribusi normal dan, sebagai tambahan, beberapa petunjuk tentang cara menggunakan tabel distribusi normal. <\/p>\n

<\/span> Nilai tabel distribusi normal<\/span><\/h2>\n

Tabel berikut menunjukkan nilai probabilitas kumulatif dari distribusi normal (ekor kiri). Perhatikan bahwa nilai dalam tabel ini sesuai dengan distribusi normal standar, jadi untuk menggunakan tabel tersebut Anda harus memasukkan variabel<\/a> terlebih dahulu. <\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
z<\/th>\n 0,00<\/th>\n 0,01<\/th>\n 0,02<\/th>\n 0,03<\/th>\n 0,04<\/th>\n 0,05<\/th>\n 0,06<\/th>\n 0,07<\/th>\n 0,08<\/th>\n 0,09<\/th>\n<\/tr>\n
0,0<\/th>\n 0,5000<\/td>\n 0,5040<\/td>\n 0,5080<\/td>\n 0,5120<\/td>\n 0,5160<\/td>\n 0,5199<\/td>\n 0,5239<\/td>\n 0,5279<\/td>\n 0,5319<\/td>\n 0,5359<\/td>\n<\/tr>\n
0,1<\/th>\n 0,5398<\/td>\n 0,5438<\/td>\n 0,5478<\/td>\n 0,5517<\/td>\n 0,5557<\/td>\n 0,5596<\/td>\n 0,5636<\/td>\n 0,5675<\/td>\n 0,5714<\/td>\n 0,5753<\/td>\n<\/tr>\n
0,2<\/th>\n 0,5793<\/td>\n 0,5832<\/td>\n 0,5871<\/td>\n 0,5910<\/td>\n 0,5948<\/td>\n 0,5987<\/td>\n 0,6026<\/td>\n 0,6064<\/td>\n 0,6103<\/td>\n 0,6141<\/td>\n<\/tr>\n
0,3<\/th>\n 0,6179<\/td>\n 0,6217<\/td>\n 0,6255<\/td>\n 0,6293<\/td>\n 0,6331<\/td>\n 0,6368<\/td>\n 0,6406<\/td>\n 0,6443<\/td>\n 0,6480<\/td>\n 0,6517<\/td>\n<\/tr>\n
0,4<\/th>\n 0,6554<\/td>\n 0,6591<\/td>\n 0,6628<\/td>\n 0,6664<\/td>\n 0,6700<\/td>\n 0,6736<\/td>\n 0,6772<\/td>\n 0,6808<\/td>\n 0,6844<\/td>\n 0,6879<\/td>\n<\/tr>\n
0,5<\/th>\n 0,6915<\/td>\n 0,6950<\/td>\n 0,6985<\/td>\n 0,7019<\/td>\n 0,7054<\/td>\n 0,7088<\/td>\n 0,7123<\/td>\n 0,7157<\/td>\n 0,7190<\/td>\n 0,7224<\/td>\n<\/tr>\n
0,6<\/th>\n 0,7257<\/td>\n 0,7291<\/td>\n 0,7324<\/td>\n 0,7357<\/td>\n 0,7389<\/td>\n 0,7422<\/td>\n 0,7454<\/td>\n 0,7486<\/td>\n 0,7517<\/td>\n 0,7549<\/td>\n<\/tr>\n
0,7<\/th>\n 0,7580<\/td>\n 0,7611<\/td>\n 0,7642<\/td>\n 0,7673<\/td>\n 0,7704<\/td>\n 0,7734<\/td>\n 0,7764<\/td>\n 0,7794<\/td>\n 0,7823<\/td>\n 0,7852<\/td>\n<\/tr>\n
0,8<\/th>\n 0,7881<\/td>\n 0,7910<\/td>\n 0,7939<\/td>\n 0,7967<\/td>\n 0,7995<\/td>\n 0,8023<\/td>\n 0,8051<\/td>\n 0,8078<\/td>\n 0,8106<\/td>\n 0,8133<\/td>\n<\/tr>\n
0,9<\/th>\n 0,8159<\/td>\n 0,8186<\/td>\n 0,8212<\/td>\n 0,8238<\/td>\n 0,8264<\/td>\n 0,8289<\/td>\n 0,8315<\/td>\n 0,8340<\/td>\n 0,8365<\/td>\n 0,8389 <\/td>\n<\/tr>\n
<\/th>\n 0,00<\/th>\n 0,01<\/th>\n 0,02<\/th>\n 0,03<\/th>\n 0,04<\/th>\n 0,05<\/th>\n 0,06<\/th>\n 0,07<\/th>\n 0,08<\/th>\n 0,09<\/th>\n<\/tr>\n
1.0<\/th>\n 0,8413<\/td>\n 0,8438<\/td>\n 0,8461<\/td>\n 0,8485<\/td>\n 0,8508<\/td>\n 0,8531<\/td>\n 0,8554<\/td>\n 0,8577<\/td>\n 0,8599<\/td>\n 0,8621<\/td>\n<\/tr>\n
1.1<\/th>\n 0,8643<\/td>\n 0,8665<\/td>\n 0,8686<\/td>\n 0,8708<\/td>\n 0,8729<\/td>\n 0,8749<\/td>\n 0,8770<\/td>\n 0,8790<\/td>\n 0,8810<\/td>\n 0,8830<\/td>\n<\/tr>\n
1.2<\/th>\n 0,8849<\/td>\n 0,8869<\/td>\n 0,8888<\/td>\n 0,8907<\/td>\n 0,8925<\/td>\n 0,8944<\/td>\n 0,8962<\/td>\n 0,8980<\/td>\n 0,8997<\/td>\n 0,9015<\/td>\n<\/tr>\n
1.3<\/th>\n 0,9032<\/td>\n 0,9049<\/td>\n 0,9066<\/td>\n 0,9082<\/td>\n 0,9099<\/td>\n 0,9115<\/td>\n 0,9131<\/td>\n 0,9147<\/td>\n 0,9162<\/td>\n 0,9177<\/td>\n<\/tr>\n
1.4<\/th>\n 0,9192<\/td>\n 0,9207<\/td>\n 0,9222<\/td>\n 0,9236<\/td>\n 0,9251<\/td>\n 0,9265<\/td>\n 0,9279<\/td>\n 0,9292<\/td>\n 0,9306<\/td>\n 0,9319<\/td>\n<\/tr>\n
1.5<\/th>\n 0,9332<\/td>\n 0,9345<\/td>\n 0,9357<\/td>\n 0,9370<\/td>\n 0,9382<\/td>\n 0,9394<\/td>\n 0,9406<\/td>\n 0,9418<\/td>\n 0,9429<\/td>\n 0,9441<\/td>\n<\/tr>\n
1.6<\/th>\n 0,9452<\/td>\n 0,9463<\/td>\n 0,9474<\/td>\n 0,9484<\/td>\n 0,9495<\/td>\n 0,9505<\/td>\n 0,9515<\/td>\n 0,9525<\/td>\n 0,9535<\/td>\n 0,9545<\/td>\n<\/tr>\n
1.7<\/th>\n 0,9554<\/td>\n 0,9564<\/td>\n 0,9573<\/td>\n 0,9582<\/td>\n 0,9591<\/td>\n 0,9599<\/td>\n 0,9608<\/td>\n 0,9616<\/td>\n 0,9625<\/td>\n 0,9633<\/td>\n<\/tr>\n
1.8<\/th>\n 0,9641<\/td>\n 0,9649<\/td>\n 0,9656<\/td>\n 0,9664<\/td>\n 0,9671<\/td>\n 0,9678<\/td>\n 0,9686<\/td>\n 0,9693<\/td>\n 0,9699<\/td>\n 0,9706<\/td>\n<\/tr>\n
1.9<\/th>\n 0,9713<\/td>\n 0,9719<\/td>\n 0,9726<\/td>\n 0,9732<\/td>\n 0,9738<\/td>\n 0,9744<\/td>\n 0,9750<\/td>\n 0,9756<\/td>\n 0,9761<\/td>\n 0,9767 <\/td>\n<\/tr>\n
<\/th>\n 0,00<\/th>\n 0,01<\/th>\n 0,02<\/th>\n 0,03<\/th>\n 0,04<\/th>\n 0,05<\/th>\n 0,06<\/th>\n 0,07<\/th>\n 0,08<\/th>\n 0,09<\/th>\n<\/tr>\n
2.0<\/th>\n 0,9772<\/td>\n 0,9778<\/td>\n 0,9783<\/td>\n 0,9788<\/td>\n 0,9793<\/td>\n 0,9798<\/td>\n 0,9803<\/td>\n 0,9808<\/td>\n 0,9812<\/td>\n 0,9817<\/td>\n<\/tr>\n
2.1<\/th>\n 0,9821<\/td>\n 0,9826<\/td>\n 0,9830<\/td>\n 0,9834<\/td>\n 0,9838<\/td>\n 0,9842<\/td>\n 0,9846<\/td>\n 0,9850<\/td>\n 0,9854<\/td>\n 0,9857<\/td>\n<\/tr>\n
2.2<\/th>\n 0,9861<\/td>\n 0,9864<\/td>\n 0,9868<\/td>\n 0,9871<\/td>\n 0,9875<\/td>\n 0,9878<\/td>\n 0,9881<\/td>\n 0,9884<\/td>\n 0,9887<\/td>\n 0,9890<\/td>\n<\/tr>\n
23<\/th>\n 0,9893<\/td>\n 0,9896<\/td>\n 0,9898<\/td>\n 0,9901<\/td>\n 0,9904<\/td>\n 0,9906<\/td>\n 0,9909<\/td>\n 0,9911<\/td>\n 0,9913<\/td>\n 0,9916<\/td>\n<\/tr>\n
2.4<\/th>\n 0,9918<\/td>\n 0,9920<\/td>\n 0,9922<\/td>\n 0,9925<\/td>\n 0,9927<\/td>\n 0,9929<\/td>\n 0,9931<\/td>\n 0,9932<\/td>\n 0,9934<\/td>\n 0,9936<\/td>\n<\/tr>\n
2.5<\/th>\n 0,9938<\/td>\n 0,9940<\/td>\n 0,9941<\/td>\n 0,9943<\/td>\n 0,9945<\/td>\n 0,9946<\/td>\n 0,9948<\/td>\n 0,9949<\/td>\n 0,9951<\/td>\n 0,9952<\/td>\n<\/tr>\n
2.6<\/th>\n 0,9953<\/td>\n 0,9955<\/td>\n 0,9956<\/td>\n 0,9957<\/td>\n 0,9959<\/td>\n 0,9960<\/td>\n 0,9961<\/td>\n 0,9962<\/td>\n 0,9963<\/td>\n 0,9964<\/td>\n<\/tr>\n
2.7<\/th>\n 0,9965<\/td>\n 0,9966<\/td>\n 0,9967<\/td>\n 0,9968<\/td>\n 0,9969<\/td>\n 0,9970<\/td>\n 0,9971<\/td>\n 0,9972<\/td>\n 0,9973<\/td>\n 0,9974<\/td>\n<\/tr>\n
2.8<\/th>\n 0,9974<\/td>\n 0,9975<\/td>\n 0,9976<\/td>\n 0,9977<\/td>\n 0,9977<\/td>\n 0,9978<\/td>\n 0,9979<\/td>\n 0,9979<\/td>\n 0,9980<\/td>\n 0,9981<\/td>\n<\/tr>\n
2.9<\/th>\n 0,9981<\/td>\n 0,9982<\/td>\n 0,9982<\/td>\n 0,9983<\/td>\n 0,9984<\/td>\n 0,9984<\/td>\n 0,9985<\/td>\n 0,9985<\/td>\n 0,9986<\/td>\n 0,9986 <\/td>\n<\/tr>\n
<\/th>\n 0,00<\/th>\n 0,01<\/th>\n 0,02<\/th>\n 0,03<\/th>\n 0,04<\/th>\n 0,05<\/th>\n 0,06<\/th>\n 0,07<\/th>\n 0,08<\/th>\n 0,09<\/th>\n<\/tr>\n
3<\/th>\n 0,9987<\/td>\n 0,9987<\/td>\n 0,9987<\/td>\n 0,9988<\/td>\n 0,9988<\/td>\n 0,9989<\/td>\n 0,9989<\/td>\n 0,9989<\/td>\n 0,9990<\/td>\n 0,9990<\/td>\n<\/tr>\n
3.1<\/th>\n 0,9990<\/td>\n 0,9991<\/td>\n 0,9991<\/td>\n 0,9991<\/td>\n 0,9992<\/td>\n 0,9992<\/td>\n 0,9992<\/td>\n 0,9992<\/td>\n 0,9993<\/td>\n 0,9993<\/td>\n<\/tr>\n
3.2<\/th>\n 0,9993<\/td>\n 0,9993<\/td>\n 0,9994<\/td>\n 0,9994<\/td>\n 0,9994<\/td>\n 0,9994<\/td>\n 0,9994<\/td>\n 0,9995<\/td>\n 0,9995<\/td>\n 0,9995<\/td>\n<\/tr>\n
3.3<\/th>\n 0,9995<\/td>\n 0,9995<\/td>\n 0,9995<\/td>\n 0,9996<\/td>\n 0,9996<\/td>\n 0,9996<\/td>\n 0,9996<\/td>\n 0,9996<\/td>\n 0,9996<\/td>\n 0,9997<\/td>\n<\/tr>\n
3.4<\/th>\n 0,9997<\/td>\n 0,9997<\/td>\n 0,9997<\/td>\n 0,9997<\/td>\n 0,9997<\/td>\n 0,9997<\/td>\n 0,9997<\/td>\n 0,9997<\/td>\n 0,9997<\/td>\n 0,9998<\/td>\n<\/tr>\n
3.5<\/th>\n 0,9998<\/td>\n 0,9998<\/td>\n 0,9998<\/td>\n 0,9998<\/td>\n 0,9998<\/td>\n 0,9998<\/td>\n 0,9998<\/td>\n 0,9998<\/td>\n 0,9998<\/td>\n 0,9998<\/td>\n<\/tr>\n
3.6<\/th>\n 0,9998<\/td>\n 0,9998<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n<\/tr>\n
3.7<\/th>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n<\/tr>\n
3.8<\/th>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n 0,9999<\/td>\n<\/tr>\n
3.9<\/th>\n 1.0000<\/td>\n 1.0000<\/td>\n 1.0000<\/td>\n 1.0000<\/td>\n 1.0000<\/td>\n 1.0000<\/td>\n 1.0000<\/td>\n 1.0000<\/td>\n 1.0000<\/td>\n 1.0000 <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

<\/span> Cara menggunakan tabel distribusi normal<\/span><\/h2>\n

Untuk menggunakan tabel distribusi normal, Anda harus mengikuti langkah-langkah berikut:<\/p>\n

    \n
  1. Standarisasi (atau tipifikasi) nilai distribusi normal. Untuk melakukan ini, kita perlu mengurangi nilai dikurangi mean dari distribusi normal dan kemudian membaginya dengan simpangan baku dari distribusi normal.<\/span><\/li>\n
  2. Masukkan tabel melalui garis yang sesuai dengan bagian bilangan bulat dan tempat desimal pertama dari nilai yang diperoleh pada langkah sebelumnya.<\/span><\/li>\n
  3. Masukkan tabel berdasarkan kolom tempat desimal kedua dari nilai yang diperoleh.<\/span><\/li>\n
  4. Nilai probabilitas kumulatif adalah nilai yang ditemukan pada pertemuan baris dan kolom dari langkah sebelumnya.<\/span><\/li>\n<\/ol>\n

    Agar dapat melihat contoh penggunaan tabel distribusi normal, di bawah ini kita akan mencari probabilitas kumulatif suatu nilai kurang dari 33 pada distribusi normal dengan mean 28 dan standar deviasi 7.<\/p>\n<\/p>\n

    \"N(28,7)\\<\/p>\n<\/p>\n

    Untuk menggunakan tabel distribusi normal, kita harus melakukan proses pengetikan terlebih dahulu untuk mendapatkan distribusi normal baku. Untuk melakukannya, Anda harus mengurangi mean dari nilai yang dimaksud, lalu membaginya dengan deviasi standar distribusi:<\/p>\n<\/p>\n

    \"Z=\\cfrac{X-\\mu}{\\sigma}\"<\/p>\n<\/p>\n

    Jadi kita kurangi mean dan bagi nilai probabilitas dengan deviasi standar:<\/p>\n<\/p>\n

    \"\\displaystyle<\/p>\n<\/p>\n

    Setelah kita membakukan variabelnya, kita pergi ke tabel probabilitas distribusi normal standar (lihat di atas) untuk melihat probabilitas apa yang sesuai dengan nilai 0,71:<\/p>\n<\/p>\n

    \"\\displaystyle<\/p>\n<\/p>\n

    Oleh karena itu, probabilitas memperoleh nilai yang sama dengan atau kurang dari 0,71 adalah 76,11%.<\/p>\n

    Perlu diingat bahwa jika nilai Z yang diperoleh dalam proses tersebut negatif, maka untuk menghitung probabilitasnya, kita harus mengurangkan nilai positif Z dari probabilitas tersebut. Lihatlah contoh berikut:<\/p>\n<\/p>\n

    \"\\begin{array}{l}P[Z\\leq<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"

    Pada artikel ini Anda akan menemukan tabel distribusi normal dan, sebagai tambahan, beberapa petunjuk tentang cara menggunakan tabel distribusi normal. Nilai tabel distribusi normal Tabel berikut menunjukkan nilai probabilitas kumulatif dari distribusi normal (ekor kiri). Perhatikan bahwa nilai dalam tabel ini sesuai dengan distribusi normal standar, jadi untuk menggunakan tabel tersebut Anda harus memasukkan variabel […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"yoast_head":"\n\u25b7 Tabel distribusi normal<\/title>\n<meta name=\"description\" content=\"Di sini Anda akan menemukan tabel distribusi normal dan, sebagai tambahan, beberapa petunjuk tentang cara menggunakan tabel distribusi normal.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/id\/tabel-distribusi-normal\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u25b7 Tabel distribusi normal\" \/>\n<meta property=\"og:description\" content=\"Di sini Anda akan menemukan tabel distribusi normal dan, sebagai tambahan, beberapa petunjuk tentang cara menggunakan tabel distribusi normal.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/tabel-distribusi-normal\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-04T00:20:17+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-4f3c4fbc328c9060c549f1e4276157d2_l3.png\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/tabel-distribusi-normal\/\",\"url\":\"https:\/\/statorials.org\/id\/tabel-distribusi-normal\/\",\"name\":\"\u25b7 Tabel distribusi normal\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-08-04T00:20:17+00:00\",\"dateModified\":\"2023-08-04T00:20:17+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Di sini Anda akan menemukan tabel distribusi normal dan, sebagai tambahan, beberapa petunjuk tentang cara menggunakan tabel distribusi normal.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/tabel-distribusi-normal\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/tabel-distribusi-normal\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/tabel-distribusi-normal\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Tabel distribusi normal\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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