{"id":217,"date":"2023-08-04T02:22:31","date_gmt":"2023-08-04T02:22:31","guid":{"rendered":"https:\/\/statorials.org\/id\/tabel-distribusi-chi-kuadrat\/"},"modified":"2023-08-04T02:22:31","modified_gmt":"2023-08-04T02:22:31","slug":"tabel-distribusi-chi-kuadrat","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/tabel-distribusi-chi-kuadrat\/","title":{"rendered":"Tabel distribusi chi-kuadrat"},"content":{"rendered":"

Pada artikel ini Anda akan menemukan tabel distribusi chi kuadrat serta petunjuk penggunaan tabel tersebut dengan benar. <\/p>\n

<\/span> Nilai tabel distribusi chi-kuadrat<\/span><\/h2>\n

Di bawah ini Anda dapat melihat nilai tabel probabilitas distribusi chi-kuadrat<\/a> yang paling sering digunakan. Baris mewakili derajat kebebasan distribusi chi-kuadrat, sedangkan kolom mewakili probabilitas menemukan nilai yang lebih besar atau sama dengan nilai chi-kuadrat yang ditabulasikan (ekor kanan). <\/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
GL<\/th>\n 0,001<\/th>\n 0,005<\/th>\n 0,01<\/th>\n 0,025<\/th>\n 0,05<\/th>\n 0,10<\/th>\n 0,25<\/th>\n 0,50<\/th>\n 0,75<\/th>\n 0,90<\/th>\n 0,95<\/th>\n 0,975<\/th>\n 0,99<\/th>\n 0,995<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>\n 10.828<\/td>\n 7.879<\/td>\n 6.635<\/td>\n 5.024<\/td>\n 3.841<\/td>\n 2.706<\/td>\n 1.323<\/td>\n 0,455<\/td>\n 0,102<\/td>\n 0,016<\/td>\n 0,004<\/td>\n 0,001<\/td>\n 0,000<\/td>\n 0,000<\/td>\n<\/tr>\n
2<\/td>\n 13.816<\/td>\n 10.597<\/td>\n 9.210<\/td>\n 7.378<\/td>\n 5.991<\/td>\n 4.605<\/td>\n 2.773<\/td>\n 1.386<\/td>\n 0,575<\/td>\n 0,211<\/td>\n 0,103<\/td>\n 0,051<\/td>\n 0,020<\/td>\n 0,010<\/td>\n<\/tr>\n
3<\/td>\n 16.266<\/td>\n 12.838<\/td>\n 11.345<\/td>\n 9.348<\/td>\n 7.815<\/td>\n 6.251<\/td>\n 4.108<\/td>\n 2.366<\/td>\n 1.213<\/td>\n 0,584<\/td>\n 0,352<\/td>\n 0,216<\/td>\n 0,115<\/td>\n 0,072<\/td>\n<\/tr>\n
4<\/td>\n 18.467<\/td>\n 14.860<\/td>\n 13.277<\/td>\n 11.143<\/td>\n 9.488<\/td>\n 7.779<\/td>\n 5.385<\/td>\n 3.357<\/td>\n 1.923<\/td>\n 1.064<\/td>\n 0,711<\/td>\n 0,484<\/td>\n 0,297<\/td>\n 0,207<\/td>\n<\/tr>\n
5<\/td>\n 20.515<\/td>\n 16.750<\/td>\n 15.086<\/td>\n 12.833<\/td>\n 11.070<\/td>\n 9.236<\/td>\n 6.626<\/td>\n 4.351<\/td>\n 2.675<\/td>\n 1.610<\/td>\n 1.145<\/td>\n 0,831<\/td>\n 0,554<\/td>\n 0,412<\/td>\n<\/tr>\n
6<\/td>\n 22.458<\/td>\n 18.548<\/td>\n 16.812<\/td>\n 14.449<\/td>\n 12.592<\/td>\n 10.645<\/td>\n 7.841<\/td>\n 5.348<\/td>\n 3.455<\/td>\n 2.204<\/td>\n 1.635<\/td>\n 1.237<\/td>\n 0,872<\/td>\n 0,676<\/td>\n<\/tr>\n
7<\/td>\n 24.322<\/td>\n 20.278<\/td>\n 18.475<\/td>\n 16.013<\/td>\n 14.067<\/td>\n 12.017<\/td>\n 9.037<\/td>\n 6.346<\/td>\n 4.255<\/td>\n 2.833<\/td>\n 2.167<\/td>\n 1.690<\/td>\n 1.239<\/td>\n 0,989<\/td>\n<\/tr>\n
8<\/td>\n 26.124<\/td>\n 21.955<\/td>\n 20.090<\/td>\n 17.535<\/td>\n 15.507<\/td>\n 13.362<\/td>\n 10.219<\/td>\n 7.344<\/td>\n 5.071<\/td>\n 3.490<\/td>\n 2.733<\/td>\n 2.180<\/td>\n 1.646<\/td>\n 1.344<\/td>\n<\/tr>\n
9<\/td>\n 27.877<\/td>\n 23.589<\/td>\n 21.666<\/td>\n 19.023<\/td>\n 16.919<\/td>\n 14.684<\/td>\n 11.389<\/td>\n 8.343<\/td>\n 5.899<\/td>\n 4.168<\/td>\n 3.325<\/td>\n 2.700<\/td>\n 2.088<\/td>\n 1.735<\/td>\n<\/tr>\n
sepuluh<\/td>\n 29.588<\/td>\n 25.188<\/td>\n 23.209<\/td>\n 20.483<\/td>\n 18.307<\/td>\n 15.987<\/td>\n 12.549<\/td>\n 9.342<\/td>\n 6.737<\/td>\n 4.865<\/td>\n 3.940<\/td>\n 3.247<\/td>\n 2.558<\/td>\n 2.156<\/td>\n<\/tr>\n
sebelas<\/td>\n 31.264<\/td>\n 26.757<\/td>\n 24.725<\/td>\n 21.920<\/td>\n 19.675<\/td>\n 17.275<\/td>\n 13.701<\/td>\n 10.341<\/td>\n 7.584<\/td>\n 5.578<\/td>\n 4.575<\/td>\n 3.816<\/td>\n 3.053<\/td>\n 2.603<\/td>\n<\/tr>\n
12<\/td>\n 32.909<\/td>\n 28.300<\/td>\n 26.217<\/td>\n 23.337<\/td>\n 21.026<\/td>\n 18.549<\/td>\n 14.845<\/td>\n 11.340<\/td>\n 8.438<\/td>\n 6.304<\/td>\n 5.226<\/td>\n 4.404<\/td>\n 3.571<\/td>\n 3.074<\/td>\n<\/tr>\n
13<\/td>\n 34.528<\/td>\n 29.819<\/td>\n 27.688<\/td>\n 24.736<\/td>\n 22.362<\/td>\n 19.812<\/td>\n 15.984<\/td>\n 12.340<\/td>\n 9.299<\/td>\n 7.042<\/td>\n 5.892<\/td>\n 5.009<\/td>\n 4.107<\/td>\n 3.565<\/td>\n<\/tr>\n
14<\/td>\n 36.123<\/td>\n 31.319<\/td>\n 29.141<\/td>\n 26.119<\/td>\n 23.685<\/td>\n 21.064<\/td>\n 17.117<\/td>\n 13.339<\/td>\n 10.165<\/td>\n 7.790<\/td>\n 6.571<\/td>\n 5.629<\/td>\n 4.660<\/td>\n 4.075<\/td>\n<\/tr>\n
limabelas<\/td>\n 37.697<\/td>\n 32.801<\/td>\n 30.578<\/td>\n 27.488<\/td>\n 24.996<\/td>\n 22.307<\/td>\n 18.245<\/td>\n 14.339<\/td>\n 11.037<\/td>\n 8.547<\/td>\n 7.261<\/td>\n 6.262<\/td>\n 5.229<\/td>\n 4.601<\/td>\n<\/tr>\n
16<\/td>\n 39.252<\/td>\n 34.267<\/td>\n 32.000<\/td>\n 28.845<\/td>\n 26.296<\/td>\n 23.542<\/td>\n 19.369<\/td>\n 15.338<\/td>\n 11.912<\/td>\n 9.312<\/td>\n 7.962<\/td>\n 6.908<\/td>\n 5.812<\/td>\n 5.142<\/td>\n<\/tr>\n
17<\/td>\n 40.790<\/td>\n 35.718<\/td>\n 33.409<\/td>\n 30.191<\/td>\n 27.587<\/td>\n 24.769<\/td>\n 20.489<\/td>\n 16.338<\/td>\n 12.792<\/td>\n 10.085<\/td>\n 8.672<\/td>\n 7.564<\/td>\n 6.408<\/td>\n 5.697<\/td>\n<\/tr>\n
18<\/td>\n 42.312<\/td>\n 37.156<\/td>\n 34.805<\/td>\n 31.526<\/td>\n 28.869<\/td>\n 25.989<\/td>\n 21.605<\/td>\n 17.338<\/td>\n 13.675<\/td>\n 10.865<\/td>\n 9.390<\/td>\n 8.231<\/td>\n 7.015<\/td>\n 6.265<\/td>\n<\/tr>\n
19<\/td>\n 43.820<\/td>\n 38.582<\/td>\n 36.191<\/td>\n 32.852<\/td>\n 30.144<\/td>\n 27.204<\/td>\n 22.718<\/td>\n 18.338<\/td>\n 14.562<\/td>\n 11.651<\/td>\n 10.117<\/td>\n 8.907<\/td>\n 7.633<\/td>\n 6.844<\/td>\n<\/tr>\n
dua puluh<\/td>\n 45.315<\/td>\n 39.997<\/td>\n 37.566<\/td>\n 34.170<\/td>\n 31.410<\/td>\n 28.412<\/td>\n 23.828<\/td>\n 19.337<\/td>\n 15.452<\/td>\n 12.443<\/td>\n 10.851<\/td>\n 9.591<\/td>\n 8.260<\/td>\n 7.434<\/td>\n<\/tr>\n
dua puluh satu<\/td>\n 46.797<\/td>\n 41.401<\/td>\n 38.932<\/td>\n 35.479<\/td>\n 32.671<\/td>\n 29.615<\/td>\n 24.935<\/td>\n 20.337<\/td>\n 16.344<\/td>\n 13.240<\/td>\n 11.591<\/td>\n 10.283<\/td>\n 8.897<\/td>\n 8.034<\/td>\n<\/tr>\n
22<\/td>\n 48.268<\/td>\n 42.796<\/td>\n 40.289<\/td>\n 36.781<\/td>\n 33.924<\/td>\n 30.813<\/td>\n 26.039<\/td>\n 21.337<\/td>\n 17.240<\/td>\n 14.041<\/td>\n 12.338<\/td>\n 10.982<\/td>\n 9.542<\/td>\n 8.643<\/td>\n<\/tr>\n
23<\/td>\n 49.728<\/td>\n 44.181<\/td>\n 41.638<\/td>\n 38.076<\/td>\n 35.172<\/td>\n 32.007<\/td>\n 27.141<\/td>\n 22.337<\/td>\n 18.137<\/td>\n 14.848<\/td>\n 13.091<\/td>\n 11.689<\/td>\n 10.196<\/td>\n 9.260<\/td>\n<\/tr>\n
24<\/td>\n 51.179<\/td>\n 45.559<\/td>\n 42.980<\/td>\n 39.364<\/td>\n 36.415<\/td>\n 33.196<\/td>\n 28.241<\/td>\n 23.337<\/td>\n 19.037<\/td>\n 15.659<\/td>\n 13.848<\/td>\n 12.401<\/td>\n 10.856<\/td>\n 9.886<\/td>\n<\/tr>\n
25<\/td>\n 52.620<\/td>\n 46.928<\/td>\n 44.314<\/td>\n 40.646<\/td>\n 37.652<\/td>\n 34.382<\/td>\n 29.339<\/td>\n 24.337<\/td>\n 19.939<\/td>\n 16.473<\/td>\n 14.611<\/td>\n 13.120<\/td>\n 11.524<\/td>\n 10.520<\/td>\n<\/tr>\n
26<\/td>\n 54.052<\/td>\n 48.290<\/td>\n 45.642<\/td>\n 41.923<\/td>\n 38.885<\/td>\n 35.563<\/td>\n 30.435<\/td>\n 25.336<\/td>\n 20.843<\/td>\n 17.292<\/td>\n 15.379<\/td>\n 13.844<\/td>\n 12.198<\/td>\n 11.160<\/td>\n<\/tr>\n
27<\/td>\n 55.476<\/td>\n 49.645<\/td>\n 46.963<\/td>\n 43.195<\/td>\n 40.113<\/td>\n 36.741<\/td>\n 31.528<\/td>\n 26.336<\/td>\n 21.749<\/td>\n 18.114<\/td>\n 16.151<\/td>\n 14.573<\/td>\n 12.879<\/td>\n 11.808<\/td>\n<\/tr>\n
28<\/td>\n 56.892<\/td>\n 50.993<\/td>\n 48.278<\/td>\n 44.461<\/td>\n 41.337<\/td>\n 37.916<\/td>\n 32.620<\/td>\n 27.336<\/td>\n 22.657<\/td>\n 18.939<\/td>\n 16.928<\/td>\n 15.308<\/td>\n 13.565<\/td>\n 12.461<\/td>\n<\/tr>\n
29<\/td>\n 58.301<\/td>\n 52.336<\/td>\n 49.588<\/td>\n 45.722<\/td>\n 42.557<\/td>\n 39.087<\/td>\n 33.711<\/td>\n 28.336<\/td>\n 23.567<\/td>\n 19.768<\/td>\n 17.708<\/td>\n 16.047<\/td>\n 14.256<\/td>\n 13.121<\/td>\n<\/tr>\n
30<\/td>\n 59.703<\/td>\n 53.672<\/td>\n 50.892<\/td>\n 46.979<\/td>\n 43.773<\/td>\n 40.256<\/td>\n 34.800<\/td>\n 29.336<\/td>\n 24.478<\/td>\n 20.599<\/td>\n 18.493<\/td>\n 16.791<\/td>\n 14.953<\/td>\n 13.787<\/td>\n<\/tr>\n
35<\/td>\n 66.619<\/td>\n 60.275<\/td>\n 57.342<\/td>\n 53.203<\/td>\n 49.802<\/td>\n 46.059<\/td>\n 40.223<\/td>\n 34.336<\/td>\n 29.054<\/td>\n 24.797<\/td>\n 22.465<\/td>\n 20.569<\/td>\n 18.509<\/td>\n 17.192<\/td>\n<\/tr>\n
40<\/td>\n 73.402<\/td>\n 66.766<\/td>\n 63.691<\/td>\n 59.342<\/td>\n 55.758<\/td>\n 51.805<\/td>\n 45.616<\/td>\n 39.335<\/td>\n 33.660<\/td>\n 29.051<\/td>\n 26.509<\/td>\n 24.433<\/td>\n 22.164<\/td>\n 20.707<\/td>\n<\/tr>\n
Empat lima<\/td>\n 80.078<\/td>\n 73.166<\/td>\n 69.957<\/td>\n 65.410<\/td>\n 61.656<\/td>\n 57.505<\/td>\n 50.985<\/td>\n 44.335<\/td>\n 38.291<\/td>\n 33.350<\/td>\n 30.612<\/td>\n 28.366<\/td>\n 25.901<\/td>\n 24.311<\/td>\n<\/tr>\n
lima puluh<\/td>\n 86.660<\/td>\n 79.450<\/td>\n 76.154<\/td>\n 71.420<\/td>\n 67.505<\/td>\n 63.167<\/td>\n 56.334<\/td>\n 49.335<\/td>\n 42.942<\/td>\n 37.689<\/td>\n 34.764<\/td>\n 32.357<\/td>\n 29.707<\/td>\n 27.991<\/td>\n<\/tr>\n
60<\/td>\n 99.607<\/td>\n 91.952<\/td>\n 88.379<\/td>\n 83.298<\/td>\n 79.082<\/td>\n 74.397<\/td>\n 66.981<\/td>\n 59.335<\/td>\n 52.294<\/td>\n 46.459<\/td>\n 43.188<\/td>\n 40.482<\/td>\n 37.485<\/td>\n 35.534<\/td>\n<\/tr>\n
70<\/td>\n 112.317<\/td>\n 104 215<\/td>\n 100 425<\/td>\n 95.023<\/td>\n 90.531<\/td>\n 85.527<\/td>\n 77.577<\/td>\n 69.335<\/td>\n 61.698<\/td>\n 55.329<\/td>\n 51.739<\/td>\n 48.758<\/td>\n 45.442<\/td>\n 43.275<\/td>\n<\/tr>\n
80<\/td>\n 124.839<\/td>\n 116.321<\/td>\n 112.329<\/td>\n 106.629<\/td>\n 101.879<\/td>\n 96.578<\/td>\n 88 130<\/td>\n 79.334<\/td>\n 71.145<\/td>\n 64.278<\/td>\n 60.391<\/td>\n 57.153<\/td>\n 53.540<\/td>\n 51.172<\/td>\n<\/tr>\n
90<\/td>\n 137 208<\/td>\n 128.299<\/td>\n 124 116<\/td>\n 118 136<\/td>\n 113 145<\/td>\n 107.565<\/td>\n 98.650<\/td>\n 89.334<\/td>\n 80.625<\/td>\n 73.291<\/td>\n 69.126<\/td>\n 65.647<\/td>\n 61.754<\/td>\n 59.196<\/td>\n<\/tr>\n
100<\/td>\n 149.449<\/td>\n 140 169<\/td>\n 135.807<\/td>\n 129.561<\/td>\n 124.342<\/td>\n 118.498<\/td>\n 109 141<\/td>\n 99.334<\/td>\n 90 133<\/td>\n 82.358<\/td>\n 77.929<\/td>\n 74.222<\/td>\n 70.065<\/td>\n 67.328 <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

<\/span> Cara menggunakan tabel distribusi chi-kuadrat<\/span><\/h2>\n

Untuk menggunakan grafik distribusi Chi-kuadrat, Anda perlu mengikuti tiga langkah sederhana:<\/p>\n

    \n
  1. Masukkan baris derajat kebebasan yang sesuai dengan distribusi chi-kuadrat ke dalam tabel.<\/span><\/li>\n
  2. Masukkan tabel dengan kolom probabilitas yang sesuai.<\/span><\/li>\n
  3. Nilai distribusi Chi-kuadrat adalah nilai yang ditemukan pada pertemuan baris dan kolom dari langkah sebelumnya.<\/span><\/li>\n<\/ol>\n

    Misalnya nilai distribusi Chi-kuadrat dengan empat derajat kebebasan dengan probabilitas 1% menemukan nilai yang sama atau lebih besar dari ini adalah 13,277. Karena merupakan nilai yang terdapat pada baris empat derajat kebebasan dan pada kolom probabilitas 1% (0,01).<\/p>\n<\/p>\n

    \"\\displaystyle<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"

    Pada artikel ini Anda akan menemukan tabel distribusi chi kuadrat serta petunjuk penggunaan tabel tersebut dengan benar. Nilai tabel distribusi chi-kuadrat Di bawah ini Anda dapat melihat nilai tabel probabilitas distribusi chi-kuadrat yang paling sering digunakan. Baris mewakili derajat kebebasan distribusi chi-kuadrat, sedangkan kolom mewakili probabilitas menemukan nilai yang lebih besar atau sama dengan nilai […]<\/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 chi-kuadrat (\u03c7\u00b2).<\/title>\n<meta name=\"description\" content=\"Di sini Anda akan menemukan tabel distribusi chi kuadrat dan petunjuk cara menggunakan tabel distribusi chi kuadrat.\" \/>\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-chi-kuadrat\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u25b7 Tabel distribusi chi-kuadrat (\u03c7\u00b2).\" \/>\n<meta property=\"og:description\" content=\"Di sini Anda akan menemukan tabel distribusi chi kuadrat dan petunjuk cara menggunakan tabel distribusi chi kuadrat.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/tabel-distribusi-chi-kuadrat\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-04T02:22:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-ba4fbaa8791e7ba8a11d6ff00d876f2a_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-chi-kuadrat\/\",\"url\":\"https:\/\/statorials.org\/id\/tabel-distribusi-chi-kuadrat\/\",\"name\":\"\u25b7 Tabel distribusi chi-kuadrat (\u03c7\u00b2).\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-08-04T02:22:31+00:00\",\"dateModified\":\"2023-08-04T02:22:31+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Di sini Anda akan menemukan tabel distribusi chi kuadrat dan petunjuk cara menggunakan tabel distribusi chi kuadrat.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/tabel-distribusi-chi-kuadrat\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/tabel-distribusi-chi-kuadrat\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/tabel-distribusi-chi-kuadrat\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Tabel distribusi chi-kuadrat\"}]},{\"@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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