{"id":26638,"date":"2023-02-08T09:50:00","date_gmt":"2023-02-08T12:50:00","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/the-science-behind-falling-in-love-copy\/"},"modified":"2023-04-05T10:55:10","modified_gmt":"2023-04-05T13:55:10","slug":"statistics-parametric-tests","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/cs\/statistics-parametric-tests\/","title":{"rendered":"Co jsou statistick\u00e9 parametrick\u00e9 testy a kde je pou\u017e\u00edt?"},"content":{"rendered":"

Statistick\u00e9 parametrick\u00e9 testy jsou typem statistick\u00e9 anal\u00fdzy, kter\u00e1 se pou\u017e\u00edv\u00e1 k testov\u00e1n\u00ed hypot\u00e9z o popula\u010dn\u00edm pr\u016fm\u011bru a rozptylu. Tyto testy jsou zalo\u017eeny na p\u0159edpokladu, \u017ee z\u00e1kladn\u00ed data se \u0159\u00edd\u00ed norm\u00e1ln\u00edm rozd\u011blen\u00edm, a maj\u00ed n\u011bkolik kl\u00ed\u010dov\u00fdch vlastnost\u00ed, v\u010detn\u011b robustnosti, spolehlivosti a schopnosti odhalit jemn\u00e9 rozd\u00edly v datech.<\/p>\n\n\n\n

Parametrick\u00e9 testy se \u010dasto pou\u017e\u00edvaj\u00ed v r\u016fzn\u00fdch aplikac\u00edch, v\u010detn\u011b l\u00e9ka\u0159sk\u00e9ho v\u00fdzkumu, v\u00fdzkumu trhu a soci\u00e1ln\u00edch v\u011bd. V t\u011bchto oborech mohou v\u00fdzkumn\u00edci pou\u017e\u00edvat parametrick\u00e9 testy k ur\u010den\u00ed v\u00fdznamnosti zm\u011bn popula\u010dn\u00edch pr\u016fm\u011br\u016f nebo rozptyl\u016f nebo k ur\u010den\u00ed, zda ur\u010dit\u00e1 l\u00e9\u010dba nebo intervence m\u011bla na data v\u00fdznamn\u00fd vliv.<\/p>\n\n\n\n

Nejb\u011b\u017en\u011bj\u0161\u00ed typy statistick\u00fdch parametrick\u00fdch test\u016f<\/h2>\n\n\n\n

T-test <\/h3>\n\n\n\n

Jedn\u00edm z nej\u010dast\u011bji pou\u017e\u00edvan\u00fdch parametrick\u00fdch test\u016f je t-test, kter\u00fd se pou\u017e\u00edv\u00e1 k porovn\u00e1n\u00ed pr\u016fm\u011br\u016f dvou populac\u00ed. . t-test<\/a> p\u0159edpokl\u00e1d\u00e1, \u017ee z\u00e1kladn\u00ed data jsou norm\u00e1ln\u011b rozd\u011blena a \u017ee rozptyly obou populac\u00ed jsou stejn\u00e9. Testovac\u00ed statistika se vypo\u010d\u00edt\u00e1 pomoc\u00ed rozd\u00edlu st\u0159edn\u00edch hodnot obou populac\u00ed vyd\u011blen\u00e9ho sm\u011brodatnou chybou rozd\u00edlu.<\/p>\n\n\n\n

Test ANOVA<\/h3>\n\n\n\n

Dal\u0161\u00edm b\u011b\u017en\u00fdm parametrick\u00fdm testem je anal\u00fdza rozptylu (ANOVA), kter\u00e1 se pou\u017e\u00edv\u00e1 k porovn\u00e1n\u00ed pr\u016fm\u011br\u016f t\u0159\u00ed nebo v\u00edce populac\u00ed. . Test ANOVA<\/a> p\u0159edpokl\u00e1d\u00e1, \u017ee z\u00e1kladn\u00ed data jsou norm\u00e1ln\u011b rozd\u011blena a \u017ee rozptyly v\u0161ech populac\u00ed jsou stejn\u00e9. Testovac\u00ed statistika se vypo\u010d\u00edt\u00e1 pomoc\u00ed pom\u011bru rozptylu mezi populacemi a rozptylu uvnit\u0159 populac\u00ed.<\/p>\n\n\n\n

Dal\u0161\u00ed parametrick\u00e9 testy<\/h3>\n\n\n\n

Krom\u011b t-testu a ANOVA existuje n\u011bkolik dal\u0161\u00edch statistick\u00fdch parametrick\u00fdch test\u016f, kter\u00e9 se pou\u017e\u00edvaj\u00ed v r\u016fzn\u00fdch aplikac\u00edch, v\u010detn\u011b p\u00e1rov\u00e9ho t-testu, jednocestn\u00e9 ANOVY, dvoucestn\u00e9 ANOVY, ANOVY s opakovan\u00fdmi m\u011b\u0159en\u00edmi a ANOVY se sm\u00ed\u0161en\u00fdm designem. Ka\u017ed\u00fd z t\u011bchto test\u016f m\u00e1 jin\u00e9 p\u0159edpoklady a testov\u00e9 statistiky a pou\u017e\u00edv\u00e1 se k \u0159e\u0161en\u00ed r\u016fzn\u00fdch typ\u016f v\u00fdzkumn\u00fdch ot\u00e1zek.<\/p>\n\n\n\n

Jednou z hlavn\u00edch v\u00fdhod parametrick\u00fdch test\u016f je jejich robustnost, co\u017e znamen\u00e1, \u017ee nejsou citliv\u00e9 na tvar rozd\u011blen\u00ed z\u00e1kladn\u00edch dat. Pokud jsou data p\u0159ibli\u017en\u011b norm\u00e1ln\u011b rozd\u011blena, mohou parametrick\u00e9 testy poskytovat p\u0159esn\u00e9 v\u00fdsledky.<\/p>\n\n\n\n

Vytv\u00e1\u0159ejte \u00fa\u017easn\u00e9 infografiky b\u011bhem n\u011bkolika minut<\/h2>\n\n\n\n

Mind the Graph je dokonal\u00fdm n\u00e1strojem pro shroma\u017e\u010fov\u00e1n\u00ed dat a jejich vizu\u00e1ln\u00ed prezentaci. Pomoc\u00ed graf\u016f, tabulek a v\u011bdeck\u00fdch ilustrac\u00ed usnadn\u00edte pochopen\u00ed sv\u00e9 pr\u00e1ce.<\/p>\n\n\n\n

<\/div>\n\n\n\n
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Vytvo\u0159en\u00ed m\u00e9 prvn\u00ed infografiky<\/a><\/div>\n<\/div>\n\n\n\n
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Spolehlivost statistick\u00fdch parametrick\u00fdch test\u016f<\/h2>\n\n\n\n

Dal\u0161\u00ed v\u00fdhodou parametrick\u00fdch test\u016f je jejich spolehlivost, proto\u017ee jsou zalo\u017eeny na dob\u0159e zaveden\u00fdch statistick\u00fdch metod\u00e1ch a p\u0159edpokladech. V\u00fdsledky parametrick\u00fdch test\u016f jsou vysoce opakovateln\u00e9 a lze je pou\u017e\u00edt k platn\u00fdm z\u00e1v\u011br\u016fm o z\u00e1kladn\u00ed populaci.<\/p>\n\n\n\n

Navzdory mnoha v\u00fdhod\u00e1m nejsou parametrick\u00e9 testy v\u017edy nejlep\u0161\u00ed volbou pro ka\u017ed\u00fd soubor dat. V n\u011bkter\u00fdch p\u0159\u00edpadech nemus\u00ed b\u00fdt z\u00e1kladn\u00ed data norm\u00e1ln\u011b rozd\u011blena nebo rozptyly populac\u00ed nemus\u00ed b\u00fdt stejn\u00e9. V t\u011bchto p\u0159\u00edpadech mohou b\u00fdt vhodn\u011bj\u0161\u00ed neparametrick\u00e9 testy.<\/p>\n\n\n\n

Parametrick\u00e9 testy vs. neparametrick\u00e9 testy<\/h2>\n\n\n\n

Neparametrick\u00e9 testy jsou typem statistick\u00e9 anal\u00fdzy, kter\u00e1 ne\u010din\u00ed \u017e\u00e1dn\u00e9 p\u0159edpoklady o z\u00e1kladn\u00edm rozd\u011blen\u00ed dat. M\u00edsto toho se p\u0159i ur\u010dov\u00e1n\u00ed v\u00fdznamnosti v\u00fdsledk\u016f spol\u00e9haj\u00ed na po\u0159ad\u00ed dat. Mezi b\u011b\u017en\u00e9 neparametrick\u00e9 testy pat\u0159\u00ed nap\u0159. Wilcoxon\u016fv rank-sum test<\/a>... Kruskal\u016fv-Wallis\u016fv test<\/a>a Mann\u016fv-Whitneyho test<\/a>.<\/p>\n\n\n\n

P\u0159i volb\u011b mezi parametrick\u00fdmi a neparametrick\u00fdmi testy je d\u016fle\u017eit\u00e9 vz\u00edt v \u00favahu povahu dat a \u0159e\u0161enou v\u00fdzkumnou ot\u00e1zku. Obecn\u011b plat\u00ed, \u017ee parametrick\u00e9 testy jsou vhodn\u00e9 pro data, kter\u00e1 jsou norm\u00e1ln\u011b rozd\u011blena a maj\u00ed stejn\u00e9 rozptyly, zat\u00edmco neparametrick\u00e9 testy jsou vhodn\u00e9 pro data, kter\u00e1 tyto p\u0159edpoklady nespl\u0148uj\u00ed.<\/p>\n\n\n\n

P\u0159\u00edklad statistick\u00e9ho parametrick\u00e9ho testu<\/h2>\n\n\n\n

P\u0159edpokl\u00e1dejme, \u017ee v\u00fdzkumn\u00edk m\u00e1 z\u00e1jem zjistit, zda existuje rozd\u00edl v pr\u016fm\u011brn\u00e9 v\u00fd\u0161ce dvou skupin d\u011bt\u00ed - skupiny A a skupiny B. Za t\u00edmto \u00fa\u010delem vybere n\u00e1hodn\u011b 20 d\u011bt\u00ed z ka\u017ed\u00e9 skupiny a zm\u011b\u0159\u00ed jejich v\u00fd\u0161ku.<\/p>\n\n\n\n

V\u00fdzkumn\u00edk chce zjistit, zda se pr\u016fm\u011brn\u00e1 v\u00fd\u0161ka d\u011bt\u00ed ve skupin\u011b A li\u0161\u00ed od pr\u016fm\u011brn\u00e9 v\u00fd\u0161ky d\u011bt\u00ed ve skupin\u011b B. K ov\u011b\u0159en\u00ed t\u00e9to hypot\u00e9zy m\u016f\u017ee v\u00fdzkumn\u00edk pou\u017e\u00edt dvouv\u00fdb\u011brov\u00fd t-test. T-test p\u0159edpokl\u00e1d\u00e1, \u017ee z\u00e1kladn\u00ed data jsou norm\u00e1ln\u011b rozd\u011blena a \u017ee rozptyly obou skupin jsou stejn\u00e9.<\/p>\n\n\n\n

V\u00fdzkumn\u00edk vypo\u010d\u00edt\u00e1 pr\u016fm\u011brnou v\u00fd\u0161ku pro ka\u017edou skupinu a zjist\u00ed, \u017ee pr\u016fm\u011brn\u00e1 v\u00fd\u0161ka skupiny A je 150 cm a pr\u016fm\u011brn\u00e1 v\u00fd\u0161ka skupiny B je 155 cm. V\u00fdzkumn\u00edk pot\u00e9 vypo\u010d\u00edt\u00e1 sm\u011brodatnou odchylku pro ka\u017edou skupinu a zjist\u00ed, \u017ee sm\u011brodatn\u00e1 odchylka pro skupinu A je 5 cm a sm\u011brodatn\u00e1 odchylka pro skupinu B je 4 cm.<\/p>\n\n\n\n

D\u00e1le v\u00fdzkumn\u00edk vypo\u010d\u00edt\u00e1 t-statistiku pomoc\u00ed rozd\u00edlu pr\u016fm\u011br\u016f obou skupin, kter\u00fd vyd\u011bl\u00ed sm\u011brodatnou chybou rozd\u00edlu. Pokud je t-statistika v\u011bt\u0161\u00ed ne\u017e kritick\u00e1 hodnota ur\u010den\u00e1 hladinou v\u00fdznamnosti a stupni volnosti, m\u016f\u017ee v\u00fdzkumn\u00edk doj\u00edt k z\u00e1v\u011bru, \u017ee existuje v\u00fdznamn\u00fd rozd\u00edl v pr\u016fm\u011brn\u00e9 v\u00fd\u0161ce d\u011bt\u00ed ve skupin\u011b A a B.<\/p>\n\n\n\n

Tento p\u0159\u00edklad ukazuje, jak lze dvouv\u00fdb\u011brov\u00fd t-test pou\u017e\u00edt k testov\u00e1n\u00ed hypot\u00e9zy o rozd\u00edlu pr\u016fm\u011br\u016f dvou skupin. T-test je v\u00fdkonn\u00fd a \u0161iroce pou\u017e\u00edvan\u00fd parametrick\u00fd test, kter\u00fd poskytuje robustn\u00ed a spolehliv\u00fd zp\u016fsob testov\u00e1n\u00ed hypot\u00e9z o pr\u016fm\u011bru populace.<\/p>\n\n\n\n

V\u00fdkonn\u00e9 n\u00e1stroje pro anal\u00fdzu dat<\/h2>\n\n\n\n

Z\u00e1v\u011brem lze \u0159\u00edci, \u017ee parametrick\u00e9 testy jsou mocn\u00fdm n\u00e1strojem statistick\u00e9 anal\u00fdzy, kter\u00fd poskytuje robustn\u00ed a spolehliv\u00e9 v\u00fdsledky pro \u0161irokou \u0161k\u00e1lu aplikac\u00ed. Je v\u0161ak d\u016fle\u017eit\u00e9 zvolit vhodn\u00fd test na z\u00e1klad\u011b povahy dat a \u0159e\u0161en\u00e9 v\u00fdzkumn\u00e9 ot\u00e1zky. A\u0165 u\u017e pou\u017eijete parametrick\u00e9 nebo neparametrick\u00e9 testy, c\u00edlem statistick\u00e9 anal\u00fdzy je v\u017edy u\u010dinit platn\u00e9 z\u00e1v\u011bry o z\u00e1kladn\u00ed populaci a vyvodit z dat smyslupln\u00e9 z\u00e1v\u011bry.<\/p>\n\n\n\n

Nic nep\u0159ekon\u00e1 bezchybn\u00fd vizu\u00e1l, kter\u00fd p\u0159in\u00e1\u0161\u00ed komplexn\u00ed sd\u011blen\u00ed.<\/h2>\n\n\n\n

M\u00e1te pot\u00ed\u017ee se sd\u011blov\u00e1n\u00edm velk\u00e9ho mno\u017estv\u00ed informac\u00ed? Pou\u017eijte infografiky a ilustrace, aby byla va\u0161e pr\u00e1ce srozumiteln\u011bj\u0161\u00ed a p\u0159\u00edstupn\u011bj\u0161\u00ed. Mind the Graph je vynikaj\u00edc\u00ed n\u00e1stroj pro v\u00fdzkumn\u00e9 pracovn\u00edky, kte\u0159\u00ed cht\u011bj\u00ed zefektivnit svou pr\u00e1ci pomoc\u00ed vizu\u00e1ln\u011b atraktivn\u00edch infografik. <\/p>\n\n\n\n

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\"\"<\/figure><\/div>\n\n\n
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Zvy\u0161te sv\u016fj v\u00fdzkum pomoc\u00ed ilustrac\u00ed<\/a><\/div>\n<\/div>\n\n\n\n
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<\/p>","protected":false},"excerpt":{"rendered":"

Tento \u010dl\u00e1nek v\u00e1m pom\u016f\u017ee pochopit statistick\u00e9 parametrick\u00e9 testy, jejich nej\u010dast\u011bj\u0161\u00ed typy a tak\u00e9 to, kde a kdy je pou\u017e\u00edt.<\/p>","protected":false},"author":4,"featured_media":26646,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[],"yoast_head":"\nWhat are statistics parametric tests and where to apply them?<\/title>\n<meta name=\"description\" content=\"This article will help you understand statistics parametric tests, their most common types, and also where and when to apply them.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/cs\/statistics-parametric-tests\/\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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He has a Ph.D. and solid scientific background in Psychopharmacology and experience as a Guest Researcher at the Max Planck Institute of Psychiatry (Germany) and Researcher in D'Or Institute for Research and Education (IDOR, Brazil). Fabricio holds over 2500 citations in Google Scholar. He has 10 years of experience in small innovative businesses, with relevant experience in product design and innovation management. Connect with him on LinkedIn - Fabricio Pamplona.","sameAs":["http:\/\/mindthegraph.com","https:\/\/www.linkedin.com\/in\/fabriciopamplona"],"url":"https:\/\/mindthegraph.com\/blog\/cs\/author\/fabricio\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/posts\/26638"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/comments?post=26638"}],"version-history":[{"count":3,"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/posts\/26638\/revisions"}],"predecessor-version":[{"id":26658,"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/posts\/26638\/revisions\/26658"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/media\/26646"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/media?parent=26638"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/categories?post=26638"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/cs\/wp-json\/wp\/v2\/tags?post=26638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}