{"id":214,"date":"2023-08-04T02:22:31","date_gmt":"2023-08-04T02:22:31","guid":{"rendered":"https:\/\/statorials.org\/pl\/tabela-rozkladu-chi-kwadrat\/"},"modified":"2023-08-04T02:22:31","modified_gmt":"2023-08-04T02:22:31","slug":"tabela-rozkladu-chi-kwadrat","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/tabela-rozkladu-chi-kwadrat\/","title":{"rendered":"Tabela rozk\u0142adu chi-kwadrat"},"content":{"rendered":"

W tym artykule znajdziesz tabel\u0119 rozk\u0142adu chi-kwadrat oraz instrukcje prawid\u0142owego korzystania z tabeli. <\/p>\n

<\/span> Warto\u015bci tabeli rozk\u0142adu chi-kwadrat<\/span><\/h2>\n

Poni\u017cej mo\u017cesz zobaczy\u0107 najcz\u0119\u015bciej u\u017cywane warto\u015bci tabeli prawdopodobie\u0144stwa rozk\u0142adu chi-kwadrat<\/a> . Wiersze reprezentuj\u0105 stopnie swobody rozk\u0142adu chi-kwadrat, podczas gdy kolumny przedstawiaj\u0105 prawdopodobie\u0144stwo znalezienia warto\u015bci wi\u0119kszej lub r\u00f3wnej tabeli warto\u015bci chi-kwadrat (prawy koniec). <\/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 10828<\/td>\n 7879<\/td>\n 6635<\/td>\n 5024<\/td>\n 3841<\/td>\n 2706<\/td>\n 1323<\/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 13816<\/td>\n 10597<\/td>\n 9210<\/td>\n 7378<\/td>\n 5991<\/td>\n 4605<\/td>\n 2773<\/td>\n 1386<\/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 16266<\/td>\n 12838<\/td>\n 11345<\/td>\n 9348<\/td>\n 7815<\/td>\n 6251<\/td>\n 4108<\/td>\n 2366<\/td>\n 1213<\/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 14860<\/td>\n 13277<\/td>\n 11143<\/td>\n 9488<\/td>\n 7779<\/td>\n 5385<\/td>\n 3357<\/td>\n 1923<\/td>\n 1064<\/td>\n 0,711<\/td>\n 0,484<\/td>\n 0,297<\/td>\n 0,207<\/td>\n<\/tr>\n
5<\/td>\n 20515<\/td>\n 16750<\/td>\n 15086<\/td>\n 12833<\/td>\n 11070<\/td>\n 9236<\/td>\n 6626<\/td>\n 4351<\/td>\n 2675<\/td>\n 1610<\/td>\n 1145<\/td>\n 0,831<\/td>\n 0,554<\/td>\n 0,412<\/td>\n<\/tr>\n
6<\/td>\n 22 458<\/td>\n 18548<\/td>\n 16812<\/td>\n 14 449<\/td>\n 12592<\/td>\n 10645<\/td>\n 7841<\/td>\n 5348<\/td>\n 3455<\/td>\n 2204<\/td>\n 1635<\/td>\n 1237<\/td>\n 0,872<\/td>\n 0,676<\/td>\n<\/tr>\n
7<\/td>\n 24322<\/td>\n 20278<\/td>\n 18 475<\/td>\n 16013<\/td>\n 14067<\/td>\n 12017<\/td>\n 9037<\/td>\n 6346<\/td>\n 4255<\/td>\n 2833<\/td>\n 2167<\/td>\n 1690<\/td>\n 1239<\/td>\n 0,989<\/td>\n<\/tr>\n
8<\/td>\n 26124<\/td>\n 21955<\/td>\n 20090<\/td>\n 17535<\/td>\n 15507<\/td>\n 13362<\/td>\n 10219<\/td>\n 7344<\/td>\n 5071<\/td>\n 3490<\/td>\n 2733<\/td>\n 2180<\/td>\n 1646<\/td>\n 1344<\/td>\n<\/tr>\n
9<\/td>\n 27877<\/td>\n 23589<\/td>\n 21666<\/td>\n 19023<\/td>\n 16919<\/td>\n 14684<\/td>\n 11389<\/td>\n 8343<\/td>\n 5899<\/td>\n 4168<\/td>\n 3325<\/td>\n 2700<\/td>\n 2088<\/td>\n 1735<\/td>\n<\/tr>\n
dziesi\u0119\u0107<\/td>\n 29588<\/td>\n 25188<\/td>\n 23209<\/td>\n 20 483<\/td>\n 18307<\/td>\n 15 987<\/td>\n 12549<\/td>\n 9342<\/td>\n 6737<\/td>\n 4865<\/td>\n 3940<\/td>\n 3247<\/td>\n 2558<\/td>\n 2156<\/td>\n<\/tr>\n
jedena\u015bcie<\/td>\n 31264<\/td>\n 26757<\/td>\n 24725<\/td>\n 21920<\/td>\n 19675<\/td>\n 17275<\/td>\n 13701<\/td>\n 10341<\/td>\n 7584<\/td>\n 5578<\/td>\n 4575<\/td>\n 3816<\/td>\n 3053<\/td>\n 2603<\/td>\n<\/tr>\n
12<\/td>\n 32909<\/td>\n 28 300<\/td>\n 26217<\/td>\n 23337<\/td>\n 21026<\/td>\n 18549<\/td>\n 14845<\/td>\n 11340<\/td>\n 8438<\/td>\n 6304<\/td>\n 5226<\/td>\n 4404<\/td>\n 3571<\/td>\n 3074<\/td>\n<\/tr>\n
13<\/td>\n 34528<\/td>\n 29819<\/td>\n 27 688<\/td>\n 24736<\/td>\n 22362<\/td>\n 19812<\/td>\n 15984<\/td>\n 12340<\/td>\n 9299<\/td>\n 7042<\/td>\n 5892<\/td>\n 5009<\/td>\n 4107<\/td>\n 3565<\/td>\n<\/tr>\n
14<\/td>\n 36123<\/td>\n 31319<\/td>\n 29141<\/td>\n 26119<\/td>\n 23685<\/td>\n 21064<\/td>\n 17117<\/td>\n 13339<\/td>\n 10165<\/td>\n 7790<\/td>\n 6571<\/td>\n 5629<\/td>\n 4660<\/td>\n 4075<\/td>\n<\/tr>\n
pi\u0119tna\u015bcie<\/td>\n 37 697<\/td>\n 32801<\/td>\n 30578<\/td>\n 27 488<\/td>\n 24 996<\/td>\n 22307<\/td>\n 18245<\/td>\n 14339<\/td>\n 11037<\/td>\n 8547<\/td>\n 7261<\/td>\n 6262<\/td>\n 5229<\/td>\n 4601<\/td>\n<\/tr>\n
16<\/td>\n 39252<\/td>\n 34267<\/td>\n 32 000<\/td>\n 28845<\/td>\n 26296<\/td>\n 23542<\/td>\n 19369<\/td>\n 15338<\/td>\n 11912<\/td>\n 9312<\/td>\n 7962<\/td>\n 6908<\/td>\n 5812<\/td>\n 5142<\/td>\n<\/tr>\n
17<\/td>\n 40790<\/td>\n 35718<\/td>\n 33 409<\/td>\n 30191<\/td>\n 27587<\/td>\n 24769<\/td>\n 20 489<\/td>\n 16338<\/td>\n 12792<\/td>\n 10085<\/td>\n 8672<\/td>\n 7564<\/td>\n 6408<\/td>\n 5697<\/td>\n<\/tr>\n
18<\/td>\n 42312<\/td>\n 37156<\/td>\n 34805<\/td>\n 31526<\/td>\n 28869<\/td>\n 25 989<\/td>\n 21605<\/td>\n 17338<\/td>\n 13675<\/td>\n 10865<\/td>\n 9390<\/td>\n 8231<\/td>\n 7015<\/td>\n 6265<\/td>\n<\/tr>\n
19<\/td>\n 43820<\/td>\n 38582<\/td>\n 36191<\/td>\n 32852<\/td>\n 30144<\/td>\n 27204<\/td>\n 22718<\/td>\n 18338<\/td>\n 14562<\/td>\n 11651<\/td>\n 10117<\/td>\n 8907<\/td>\n 7633<\/td>\n 6844<\/td>\n<\/tr>\n
20<\/td>\n 45 315<\/td>\n 39 997<\/td>\n 37566<\/td>\n 34170<\/td>\n 31410<\/td>\n 28 412<\/td>\n 23828<\/td>\n 19337<\/td>\n 15 452<\/td>\n 12443<\/td>\n 10851<\/td>\n 9591<\/td>\n 8260<\/td>\n 7434<\/td>\n<\/tr>\n
dwadzie\u015bcia jeden<\/td>\n 46797<\/td>\n 41 401<\/td>\n 38932<\/td>\n 35 479<\/td>\n 32671<\/td>\n 29615<\/td>\n 24935<\/td>\n 20337<\/td>\n 16344<\/td>\n 13240<\/td>\n 11591<\/td>\n 10283<\/td>\n 8897<\/td>\n 8034<\/td>\n<\/tr>\n
22<\/td>\n 48268<\/td>\n 42796<\/td>\n 40289<\/td>\n 36781<\/td>\n 33924<\/td>\n 30813<\/td>\n 26039<\/td>\n 21337<\/td>\n 17240<\/td>\n 14041<\/td>\n 12338<\/td>\n 10982<\/td>\n 9542<\/td>\n 8643<\/td>\n<\/tr>\n
23<\/td>\n 49728<\/td>\n 44181<\/td>\n 41638<\/td>\n 38076<\/td>\n 35172<\/td>\n 32007<\/td>\n 27141<\/td>\n 22337<\/td>\n 18137<\/td>\n 14848<\/td>\n 13091<\/td>\n 11689<\/td>\n 10196<\/td>\n 9260<\/td>\n<\/tr>\n
24<\/td>\n 51179<\/td>\n 45559<\/td>\n 42 980<\/td>\n 39364<\/td>\n 36 415<\/td>\n 33196<\/td>\n 28241<\/td>\n 23337<\/td>\n 19037<\/td>\n 15659<\/td>\n 13848<\/td>\n 12401<\/td>\n 10856<\/td>\n 9886<\/td>\n<\/tr>\n
25<\/td>\n 52620<\/td>\n 46928<\/td>\n 44314<\/td>\n 40646<\/td>\n 37652<\/td>\n 34382<\/td>\n 29339<\/td>\n 24337<\/td>\n 19939<\/td>\n 16 473<\/td>\n 14611<\/td>\n 13120<\/td>\n 11524<\/td>\n 10520<\/td>\n<\/tr>\n
26<\/td>\n 54052<\/td>\n 48290<\/td>\n 45642<\/td>\n 41923<\/td>\n 38885<\/td>\n 35563<\/td>\n 30 435<\/td>\n 25 336<\/td>\n 20843<\/td>\n 17292<\/td>\n 15 379<\/td>\n 13844<\/td>\n 12198<\/td>\n 11160<\/td>\n<\/tr>\n
27<\/td>\n 55 476<\/td>\n 49645<\/td>\n 46963<\/td>\n 43195<\/td>\n 40113<\/td>\n 36741<\/td>\n 31528<\/td>\n 26336<\/td>\n 21749<\/td>\n 18114<\/td>\n 16151<\/td>\n 14573<\/td>\n 12879<\/td>\n 11808<\/td>\n<\/tr>\n
28<\/td>\n 56892<\/td>\n 50 993<\/td>\n 48278<\/td>\n 44 461<\/td>\n 41337<\/td>\n 37916<\/td>\n 32620<\/td>\n 27336<\/td>\n 22657<\/td>\n 18939<\/td>\n 16928<\/td>\n 15 308<\/td>\n 13565<\/td>\n 12461<\/td>\n<\/tr>\n
29<\/td>\n 58301<\/td>\n 52336<\/td>\n 49588<\/td>\n 45722<\/td>\n 42557<\/td>\n 39087<\/td>\n 33711<\/td>\n 28336<\/td>\n 23567<\/td>\n 19768<\/td>\n 17708<\/td>\n 16047<\/td>\n 14256<\/td>\n 13121<\/td>\n<\/tr>\n
30<\/td>\n 59703<\/td>\n 53 672<\/td>\n 50 892<\/td>\n 46 979<\/td>\n 43773<\/td>\n 40256<\/td>\n 34 800<\/td>\n 29336<\/td>\n 24 478<\/td>\n 20599<\/td>\n 18 493<\/td>\n 16791<\/td>\n 14953<\/td>\n 13787<\/td>\n<\/tr>\n
35<\/td>\n 66619<\/td>\n 60275<\/td>\n 57342<\/td>\n 53203<\/td>\n 49802<\/td>\n 46059<\/td>\n 40223<\/td>\n 34336<\/td>\n 29054<\/td>\n 24797<\/td>\n 22 465<\/td>\n 20569<\/td>\n 18509<\/td>\n 17192<\/td>\n<\/tr>\n
40<\/td>\n 73 402<\/td>\n 66766<\/td>\n 63 691<\/td>\n 59342<\/td>\n 55758<\/td>\n 51805<\/td>\n 45 616<\/td>\n 39335<\/td>\n 33660<\/td>\n 29051<\/td>\n 26509<\/td>\n 24433<\/td>\n 22164<\/td>\n 20707<\/td>\n<\/tr>\n
Cztery pi\u0119\u0107<\/td>\n 80 078<\/td>\n 73166<\/td>\n 69 957<\/td>\n 65 410<\/td>\n 61 656<\/td>\n 57505<\/td>\n 50 985<\/td>\n 44335<\/td>\n 38291<\/td>\n 33350<\/td>\n 30612<\/td>\n 28366<\/td>\n 25901<\/td>\n 24311<\/td>\n<\/tr>\n
pi\u0119\u0107dziesi\u0105t<\/td>\n 86660<\/td>\n 79 450<\/td>\n 76154<\/td>\n 71 420<\/td>\n 67505<\/td>\n 63167<\/td>\n 56334<\/td>\n 49335<\/td>\n 42942<\/td>\n 37 689<\/td>\n 34764<\/td>\n 32357<\/td>\n 29707<\/td>\n 27 991<\/td>\n<\/tr>\n
60<\/td>\n 99 607<\/td>\n 91 952<\/td>\n 88 379<\/td>\n 83298<\/td>\n 79082<\/td>\n 74 397<\/td>\n 66 981<\/td>\n 59335<\/td>\n 52294<\/td>\n 46 459<\/td>\n 43188<\/td>\n 40 482<\/td>\n 37 485<\/td>\n 35534<\/td>\n<\/tr>\n
70<\/td>\n 112 317<\/td>\n 104 215<\/td>\n 100 425<\/td>\n 95 023<\/td>\n 90531<\/td>\n 85527<\/td>\n 77577<\/td>\n 69 335<\/td>\n 61 698<\/td>\n 55 329<\/td>\n 51739<\/td>\n 48758<\/td>\n 45 442<\/td>\n 43275<\/td>\n<\/tr>\n
80<\/td>\n 124839<\/td>\n 116 321<\/td>\n 112 329<\/td>\n 106 629<\/td>\n 101 879<\/td>\n 96578<\/td>\n 88 130<\/td>\n 79334<\/td>\n 71145<\/td>\n 64278<\/td>\n 60 391<\/td>\n 57153<\/td>\n 53540<\/td>\n 51172<\/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 107565<\/td>\n 98 650<\/td>\n 89334<\/td>\n 80 625<\/td>\n 73291<\/td>\n 69126<\/td>\n 65 647<\/td>\n 61754<\/td>\n 59196<\/td>\n<\/tr>\n
100<\/td>\n 149 449<\/td>\n 140 169<\/td>\n 135 807<\/td>\n 129561<\/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 74222<\/td>\n 70 065<\/td>\n 67 328 <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

<\/span> Jak korzysta\u0107 z tabeli rozk\u0142adu chi-kwadrat<\/span><\/h2>\n

Aby skorzysta\u0107 z wykresu rozk\u0142adu Chi-kwadrat, nale\u017cy wykona\u0107 trzy proste kroki:<\/p>\n

    \n
  1. Wprowad\u017a do tabeli rz\u0105d stopni swobody odpowiadaj\u0105cy rozk\u0142adowi chi-kwadrat.<\/span><\/li>\n
  2. Wstaw tabel\u0119 wed\u0142ug odpowiedniej kolumny prawdopodobie\u0144stwa.<\/span><\/li>\n
  3. Warto\u015b\u0107 rozk\u0142adu Chi-kwadrat to warto\u015b\u0107 znaleziona w miejscu, w kt\u00f3rym spotykaj\u0105 si\u0119 wiersz i kolumna z poprzednich krok\u00f3w.<\/span><\/li>\n<\/ol>\n

    Na przyk\u0142ad warto\u015b\u0107 rozk\u0142adu chi-kwadrat z czterema stopniami swobody z 1% prawdopodobie\u0144stwem znalezienia warto\u015bci r\u00f3wnej lub wi\u0119kszej od tej wynosi 13,277. Poniewa\u017c jest to warto\u015b\u0107, kt\u00f3ra znajduje si\u0119 w wierszu czterech stopni swobody i w kolumnie prawdopodobie\u0144stwa 1% (0,01).<\/p>\n<\/p>\n

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

    W tym artykule znajdziesz tabel\u0119 rozk\u0142adu chi-kwadrat oraz instrukcje prawid\u0142owego korzystania z tabeli. Warto\u015bci tabeli rozk\u0142adu chi-kwadrat Poni\u017cej mo\u017cesz zobaczy\u0107 najcz\u0119\u015bciej u\u017cywane warto\u015bci tabeli prawdopodobie\u0144stwa rozk\u0142adu chi-kwadrat . Wiersze reprezentuj\u0105 stopnie swobody rozk\u0142adu chi-kwadrat, podczas gdy kolumny przedstawiaj\u0105 prawdopodobie\u0144stwo znalezienia warto\u015bci wi\u0119kszej lub r\u00f3wnej tabeli warto\u015bci chi-kwadrat (prawy koniec). GL 0,001 0,005 0,01 0,025 0,05 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-214","post","type-post","status-publish","format-standard","hentry","category-prawdopodobienstwo"],"yoast_head":"\n\u25b7 Tabela rozk\u0142adu chi-kwadrat (\u03c7\u00b2).<\/title>\n<meta name=\"description\" content=\"Tutaj znajdziesz tabel\u0119 rozk\u0142adu chi-kwadrat i instrukcje dotycz\u0105ce korzystania z tabeli rozk\u0142adu chi-kwadrat.\" \/>\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\/pl\/tabela-rozkladu-chi-kwadrat\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u25b7 Tabela rozk\u0142adu chi-kwadrat (\u03c7\u00b2).\" \/>\n<meta property=\"og:description\" content=\"Tutaj znajdziesz tabel\u0119 rozk\u0142adu chi-kwadrat i instrukcje dotycz\u0105ce korzystania z tabeli rozk\u0142adu chi-kwadrat.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/tabela-rozkladu-chi-kwadrat\/\" \/>\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=\"Napisane przez\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Szacowany czas czytania\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minuta\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pl\/tabela-rozkladu-chi-kwadrat\/\",\"url\":\"https:\/\/statorials.org\/pl\/tabela-rozkladu-chi-kwadrat\/\",\"name\":\"\u25b7 Tabela rozk\u0142adu chi-kwadrat (\u03c7\u00b2).\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-08-04T02:22:31+00:00\",\"dateModified\":\"2023-08-04T02:22:31+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"Tutaj znajdziesz tabel\u0119 rozk\u0142adu chi-kwadrat i instrukcje dotycz\u0105ce korzystania z tabeli rozk\u0142adu chi-kwadrat.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/tabela-rozkladu-chi-kwadrat\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/tabela-rozkladu-chi-kwadrat\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/tabela-rozkladu-chi-kwadrat\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Tabela rozk\u0142adu chi-kwadrat\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/pl\/#website\",\"url\":\"https:\/\/statorials.org\/pl\/\",\"name\":\"Statorials\",\"description\":\"Tw\u00f3j przewodnik po kompetencjach statystycznych!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/pl\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"pl-PL\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\",\"name\":\"Benjamin Anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/pl\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/pl\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin Anderson\"},\"description\":\"Cze\u015b\u0107, jestem Benjamin i jestem emerytowanym profesorem statystyki, kt\u00f3ry zosta\u0142 oddanym nauczycielem Statorials. 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