{"id":856,"date":"2023-07-28T12:45:51","date_gmt":"2023-07-28T12:45:51","guid":{"rendered":"https:\/\/statorials.org\/pl\/pyton-ancova\/"},"modified":"2023-07-28T12:45:51","modified_gmt":"2023-07-28T12:45:51","slug":"pyton-ancova","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/pyton-ancova\/","title":{"rendered":"Jak wykona\u0107 ancova w pythonie"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">ANCOVA<\/span> (\u201eanaliza kowariancji\u201d) s\u0142u\u017cy do okre\u015blenia, <a href=\"https:\/\/statorials.org\/pl\/ankowa\/\" target=\"_blank\" rel=\"noopener noreferrer\">czy<\/a> <span style=\"color: #000000;\">istnieje statystycznie istotna r\u00f3\u017cnica mi\u0119dzy \u015brednimi trzech lub wi\u0119cej niezale\u017cnych grup, po uwzgl\u0119dnieniu jednej lub wi\u0119kszej <a href=\"https:\/\/statorials.org\/pl\/wspo\u0142zmienna-2\/\" target=\"_blank\" rel=\"noopener noreferrer\">liczby wsp\u00f3\u0142zmiennych<\/a> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">W tym samouczku wyja\u015bniono, jak wykona\u0107 ANCOVA w Pythonie.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad: ANCOVA w Pythonie<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Nauczycielka chce wiedzie\u0107, czy trzy r\u00f3\u017cne techniki uczenia si\u0119 wp\u0142ywaj\u0105 na wyniki egzaminu, ale chce wzi\u0105\u0107 pod uwag\u0119 aktualn\u0105 ocen\u0119, jak\u0105 ucze\u0144 ma ju\u017c w klasie.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Wykona ANCOVA przy u\u017cyciu nast\u0119puj\u0105cych zmiennych:<\/span><\/p>\n<ul data-slot-rendered-dynamic=\"true\">\n<li> <span style=\"color: #000000;\"><strong>Zmienna czynnikowa:<\/strong> badanie techniczne<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Wsp\u00f3\u0142zmienna:<\/strong> aktualny wynik<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Zmienna odpowiedzi:<\/strong> wynik egzaminu<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Wykonaj nast\u0119puj\u0105ce kroki, aby wykona\u0107 ANCOVA na tym zbiorze danych:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Krok 1: Wprowad\u017a dane.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Najpierw utworzymy pand\u0119 DataFrame do przechowywania naszych danych:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create data<\/span>\ndf = pd.DataFrame({'technique': np.repeat(['A', 'B', 'C'], 5),\n                   'current_grade': [67, 88, 75, 77, 85,\n                                     92, 69, 77, 74, 88, \n                                     96, 91, 88, 82, 80],\n                   'exam_score': [77, 89, 72, 74, 69,\n                                  78, 88, 93, 94, 90,\n                                  85, 81, 83, 88, 79]})\n<span style=\"color: #008080;\">#view data<\/span> \ndf\n\n   technical current_grade exam_score\n0 A 67 77\n1 A 88 89\n2 A 75 72\n3 A 77 74\n4 A 85 69\n5 B 92 78\n6 B 69 88\n7 B 77 93\n8 B 74 94\n9 B 88 90\n10 C 96 85\n11 C 91 81\n12 C 88 83\n13 C 82 88\n14 C 80 79\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Krok 2: Wykonaj ANCOVA.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Nast\u0119pnie wykonamy ANCOVA przy u\u017cyciu <a href=\"https:\/\/pingouin-stats.org\/generated\/pingouin.ancova.html\" target=\"_blank\" rel=\"noopener noreferrer\">funkcji ancova()<\/a> z biblioteki pingwina:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\"><span style=\"color: #000000;\">pip<\/span> install <span style=\"color: #000000;\">penguin<\/span> \nfrom<\/span> penguin <span style=\"color: #107d3f;\">import<\/span> ancova\n\n<span style=\"color: #008080;\">#perform ANCOVA<\/span>\nancova(data= <span style=\"color: #008000;\">df<\/span> , dv=' <span style=\"color: #008000;\">exam_score<\/span> ', covar=' <span style=\"color: #008000;\">current_grade<\/span> ', between=' <span style=\"color: #008000;\">technique<\/span> ')\n\n\n        Source SS DF F p-unc np2\n0 technical 390.575130 2 4.80997 0.03155 0.46653\n1 current_grade 4.193886 1 0.10329 0.75393 0.00930\n2 Residual 446.606114 11 NaN NaN NaN\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Krok 3: Interpretacja wynik\u00f3w.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Z tabeli ANCOVA widzimy, \u017ce warto\u015b\u0107 p (p-unc = \u201enieskorygowana warto\u015b\u0107 p\u201d) dla techniki badania wynosi <strong>0,03155<\/strong> . Poniewa\u017c warto\u015b\u0107 ta jest mniejsza ni\u017c 0,05, mo\u017cemy odrzuci\u0107 hipotez\u0119 zerow\u0105, \u017ce ka\u017cda z technik badania prowadzi do tej samej \u015bredniej oceny z egzaminu, <em>nawet po uwzgl\u0119dnieniu aktualnej oceny studenta z zaj\u0119\u0107<\/em> .<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ANCOVA (\u201eanaliza kowariancji\u201d) s\u0142u\u017cy do okre\u015blenia, czy istnieje statystycznie istotna r\u00f3\u017cnica mi\u0119dzy \u015brednimi trzech lub wi\u0119cej niezale\u017cnych grup, po uwzgl\u0119dnieniu jednej lub wi\u0119kszej liczby wsp\u00f3\u0142zmiennych . W tym samouczku wyja\u015bniono, jak wykona\u0107 ANCOVA w Pythonie. Przyk\u0142ad: ANCOVA w Pythonie Nauczycielka chce wiedzie\u0107, czy trzy r\u00f3\u017cne techniki uczenia si\u0119 wp\u0142ywaj\u0105 na wyniki egzaminu, ale chce wzi\u0105\u0107 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-856","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Jak wykona\u0107 ANCOVA w Pythonie - Statorials<\/title>\n<meta name=\"description\" content=\"Proste wyja\u015bnienie, jak wykona\u0107 ANCOVA w Pythonie.\" \/>\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\/pyton-ancova\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak wykona\u0107 ANCOVA w Pythonie - Statorials\" \/>\n<meta property=\"og:description\" content=\"Proste wyja\u015bnienie, jak wykona\u0107 ANCOVA w Pythonie.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/pyton-ancova\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T12:45:51+00:00\" \/>\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\/pyton-ancova\/\",\"url\":\"https:\/\/statorials.org\/pl\/pyton-ancova\/\",\"name\":\"Jak wykona\u0107 ANCOVA w Pythonie - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-28T12:45:51+00:00\",\"dateModified\":\"2023-07-28T12:45:51+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"Proste wyja\u015bnienie, jak wykona\u0107 ANCOVA w Pythonie.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/pyton-ancova\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/pyton-ancova\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/pyton-ancova\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak wykona\u0107 ancova w pythonie\"}]},{\"@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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