{"id":10824,"date":"2024-12-10T22:55:54","date_gmt":"2024-12-11T06:55:54","guid":{"rendered":"https:\/\/chansmachining.com\/precision-vs-accuracy\/"},"modified":"2024-12-17T11:32:24","modified_gmt":"2024-12-17T19:32:24","slug":"presnost-vs-presnost","status":"publish","type":"post","link":"https:\/\/chansmachining.com\/cs\/presnost-vs-presnost\/","title":{"rendered":"P\u0159esnost vs. p\u0159esnost: V \u010dem je rozd\u00edl\uff1f"},"content":{"rendered":"\n

Co je to p\u0159esnost?<\/strong><\/h2>\n
\n
\"Co<\/figure><\/div>\n

P\u0159esnost ozna\u010duje, jak p\u0159esn\u011b nam\u011b\u0159en\u00e1 hodnota odpov\u00edd\u00e1 skute\u010dn\u00e9 nebo p\u0159ijat\u00e9 hodnot\u011b m\u011b\u0159en\u00e9 veli\u010diny. Zjednodu\u0161en\u011b \u0159e\u010deno jde o p\u0159esnost m\u011b\u0159en\u00ed.P\u0159edpokl\u00e1dejme, \u017ee pou\u017e\u00edv\u00e1te teplom\u011br ke kontrole teploty vrouc\u00ed vody, kter\u00e1 m\u00e1 zn\u00e1m\u00fd bod varu 100 \u00b0C. Pokud teplom\u011br zaznamen\u00e1 teplotu 100,1 \u00b0C, naz\u00fdv\u00e1me ji p\u0159esnou, proto\u017ee je pom\u011brn\u011b bl\u00edzko skute\u010dn\u00e9 teplot\u011b.<\/p>\n\n

Kl\u00ed\u010dov\u00e9 charakteristiky p\u0159esnosti<\/strong><\/h3>\n\n
    \n
  • Pravda v m\u011b\u0159en\u00ed: P\u0159esnost se t\u00fdk\u00e1 toho, jak p\u0159esn\u011b v\u00fdsledek odpov\u00edd\u00e1 skute\u010dn\u00e9 hodnot\u011b nebo standardu.<\/li>\n\n\n\n
  • Jednor\u00e1zov\u00e9 m\u011b\u0159en\u00ed: Jednor\u00e1zov\u00e9 m\u011b\u0159en\u00ed m\u016f\u017ee b\u00fdt p\u0159esn\u00e9, opakovan\u00e1 m\u011b\u0159en\u00ed v\u0161ak nikoli.<\/li>\n\n\n\n
  • Kritick\u00e9 v n\u011bkter\u00fdch oborech: P\u0159esnost je nesm\u00edrn\u011b d\u016fle\u017eit\u00e1 v odv\u011btv\u00edch, jako je l\u00e9ka\u0159stv\u00ed, letectv\u00ed a v\u00fdroba, kde m\u016f\u017ee b\u00fdt i mal\u00e1 chyba katastrof\u00e1ln\u00ed.<\/li>\n<\/ul>\n\n

    P\u0159\u00edklad p\u0159esnosti v re\u00e1ln\u00e9m sv\u011bt\u011b<\/strong><\/h3>\n\n

    Vezm\u011bme si pilota, kter\u00fd se sna\u017e\u00ed p\u0159ist\u00e1t s letadlem na ur\u010dit\u00e9 dr\u00e1ze. C\u00edlem je p\u0159ist\u00e1t p\u0159esn\u011b na ur\u010den\u00e9m m\u00edst\u011b. Pokud letadlo p\u0159istane p\u0159\u00edmo na tomto m\u00edst\u011b, jedn\u00e1 se o p\u0159esn\u00e9 p\u0159ist\u00e1n\u00ed, proto\u017ee je v souladu s c\u00edlem. Bez ohledu na to, kolikr\u00e1t se letadlo p\u0159ibl\u00ed\u017e\u00ed k dr\u00e1ze, p\u0159ist\u00e1n\u00ed o n\u011bkolik metr\u016f vlevo nebo vpravo je st\u00e1le \u0161patn\u00e9.<\/p>\n\n

    Co je to p\u0159esnost?<\/strong><\/h2>\n
    \n
    \"Co<\/figure><\/div>\n

    Naproti tomu p\u0159esnost se t\u00fdk\u00e1 konzistence nebo reprodukovatelnosti m\u011b\u0159en\u00ed. Pokud m\u011b\u0159\u00edte stejnou veli\u010dinu n\u011bkolikr\u00e1t za stejn\u00fdch podm\u00ednek, p\u0159esnost se t\u00fdk\u00e1 toho, jak t\u011bsn\u011b se tato m\u011b\u0159en\u00ed shlukuj\u00ed, bez ohledu na to, zda se bl\u00ed\u017e\u00ed spr\u00e1vn\u00e9 hodnot\u011b.<\/p>\n\n

    Pokud nap\u0159\u00edklad pravideln\u011b testujete teplotu vrouc\u00ed vody a dostanete hodnoty 99,9 \u00b0C, 100,0 \u00b0C a 100,1 \u00b0C, pova\u017euj\u00ed se tyto hodnoty za p\u0159esn\u00e9, proto\u017ee jsou si navz\u00e1jem bl\u00edzk\u00e9, i kdy\u017e skute\u010dn\u00e1 teplota je 100 \u00b0C.<\/p>\n\n

    Kl\u00ed\u010dov\u00e9 charakteristiky p\u0159esnosti<\/strong><\/h3>\n\n
      \n
    • Konzistence v \u010dase: P\u0159esnost se t\u00fdk\u00e1 toho, jak konzistentn\u00ed jsou m\u011b\u0159en\u00ed, nikoli toho, jak bl\u00edzko jsou skute\u010dn\u00e9 hodnot\u011b.<\/li>\n\n\n\n
    • Na opakov\u00e1n\u00ed z\u00e1le\u017e\u00ed: Pro odhad p\u0159esnosti je t\u0159eba prov\u00e9st n\u011bkolik m\u011b\u0159en\u00ed.<\/li>\n\n\n\n
    • Z\u00e1kladn\u00ed informace o experiment\u00e1ln\u00edm designu: P\u0159esnost hraje z\u00e1sadn\u00ed roli v experimentech, kde chcete z\u00edskat spolehliv\u00e9 v\u00fdsledky z opakovan\u00fdch pokus\u016f bez ohledu na to, zda odpov\u00eddaj\u00ed skute\u010dn\u00e9 hodnot\u011b.<\/li>\n<\/ul>\n\n

      Re\u00e1ln\u00fd p\u0159\u00edklad p\u0159esnosti<\/strong><\/h3>\n\n

      P\u0159edpokl\u00e1dejme, \u017ee jste v\u00fdrobce, kter\u00fd posuzuje stroj, kter\u00fd \u0159e\u017ee kov na p\u0159edem stanovenou d\u00e9lku. P\u0159i ka\u017ed\u00e9m \u0159ez\u00e1n\u00ed stroj vygeneruje kus dlouh\u00fd 4,99 cm, 5,00 cm nebo 5,01 cm. Tyto v\u00fdsledky jsou p\u0159esn\u00e9, proto\u017ee se pravideln\u011b podobaj\u00ed, nicm\u00e9n\u011b nejsou v\u017edy spr\u00e1vn\u00e9, kdy\u017e je po\u017eadovan\u00e1 d\u00e9lka 5,5 cm.<\/p>\n\n

      P\u0159esnost vs. p\u0159esnost: Kl\u00ed\u010dov\u00e9 rozd\u00edly<\/strong><\/h2>\n
      \n
      \"Hlavní<\/figure><\/div>\n

      Je d\u016fle\u017eit\u00e9 si uv\u011bdomit, \u017ee p\u0159esnost a preciznost jsou souvisej\u00edc\u00ed, ale odli\u0161n\u00e9 pojmy. V z\u00e1kladn\u00edch pojmech:<\/p>\n\n

        \n
      • P\u0159esnost se t\u00fdk\u00e1 p\u0159esnosti m\u011b\u0159en\u00ed, neboli toho, jak bl\u00edzko je skute\u010dn\u00e9 hodnot\u011b.<\/li>\n\n\n\n
      • P\u0159esnost se t\u00fdk\u00e1 konzistence neboli toho, jak t\u011bsn\u011b se opakovan\u00e1 m\u011b\u0159en\u00ed shlukuj\u00ed.<\/li>\n<\/ul>\n\n

        Vizualizace rozd\u00edlu<\/strong><\/h3>\n\n

        Abychom si to ujasnili, pod\u00edvejme se na n\u011bkolik diagram\u016f, kter\u00e9 ukazuj\u00ed rozd\u00edl.<\/p>\n\n

        P\u0159esn\u00fd, ale ne p\u0159esn\u00fd<\/strong><\/p>\n\n

        Assume you shot arrows at a target and they land around the bullseye but are distributed in different locations. This reflects accurate, but not precise, measurements. Each shot is accurate, however they do not always hit the same spot.<\/p>\n\n

        P\u0159esn\u00e9, ale ne p\u0159esn\u00e9<\/strong><\/p>\n\n

        P\u0159edpokl\u00e1dejte, \u017ee va\u0161e \u0161\u00edpy trvale zasahuj\u00ed stejnou oblast, kter\u00e1 je v\u0161ak daleko od ter\u010de. To ukazuje p\u0159esn\u00e9, ale nep\u0159esn\u00e9 m\u011b\u0159en\u00ed. V\u00fdst\u0159ely jsou konstantn\u00ed, ale nemaj\u00ed skute\u010dnou hodnotu.<\/p>\n\n

        P\u0159esn\u00e9 a precizn\u00ed<\/strong><\/p>\n\n

        V ide\u00e1ln\u00edm p\u0159\u00edpad\u011b byste m\u011bli m\u00edt p\u0159esnost i preciznost. Pokud va\u0161e \u0161\u00edpy neust\u00e1le dopadaj\u00ed bl\u00edzko ter\u010de, je va\u0161e st\u0159elba p\u0159esn\u00e1 i precizn\u00ed.<\/p>\n\n

        Nejsou ani p\u0159esn\u00e9, ani precizn\u00ed<\/strong><\/p>\n\n

        Pokud va\u0161e \u0161\u00edpy dopadaj\u00ed na n\u00e1hodn\u00e1 m\u00edsta mimo c\u00edl, chyb\u00ed v\u00e1m p\u0159esnost a preciznost. To je nep\u0159\u00edzniv\u00e1 okolnost pro m\u011b\u0159en\u00ed.<\/p>\n\n

        Kl\u00ed\u010dov\u00e9 rozd\u00edly v tabulce:<\/strong><\/h3>\n\n
        Charakteristika<\/strong><\/th>P\u0159esnost<\/strong><\/th>P\u0159esnost<\/strong><\/th><\/tr>
        Definice<\/strong><\/td>Bl\u00edzkost skute\u010dn\u00e9 hodnot\u011b<\/td>Vz\u00e1jemn\u00e1 bl\u00edzkost opakovan\u00fdch m\u011b\u0159en\u00ed<\/td><\/tr>
        Kl\u00ed\u010dov\u00e9 zam\u011b\u0159en\u00ed<\/strong><\/td>Spr\u00e1vnost<\/td>Konzistence<\/td><\/tr>
        M\u011b\u0159en\u00ed<\/strong><\/td>M\u016f\u017ee b\u00fdt jednor\u00e1zov\u00fd nebo v\u00edcen\u00e1sobn\u00fd<\/td>Vy\u017eaduje v\u00edce m\u011b\u0159en\u00ed<\/td><\/tr>
        Ide\u00e1ln\u00ed sc\u00e9n\u00e1\u0159<\/strong><\/td>Jedin\u00e9 m\u011b\u0159en\u00ed bl\u00edzk\u00e9 skute\u010dn\u00e9 hodnot\u011b<\/td>V\u00edce m\u011b\u0159en\u00ed bl\u00edzko sebe<\/td><\/tr><\/tbody><\/table><\/figure>\n\n

        Pro\u010d je d\u016fle\u017eit\u00e1 p\u0159esnost i preciznost?<\/strong><\/h2>\n\n

        P\u0159esnost a preciznost se n\u011bkdy posuzuj\u00ed odd\u011blen\u011b, ale za mnoha okolnost\u00ed jsou stejn\u011b d\u016fle\u017eit\u00e9. Jejich v\u00fdznam se v\u0161ak li\u0161\u00ed v z\u00e1vislosti na situaci, ve kter\u00e9 pracujete.<\/p>\n\n

        Kdy na p\u0159esnosti z\u00e1le\u017e\u00ed v\u00edce ne\u017e na p\u0159esnosti?<\/strong><\/h3>\n\n

        V ur\u010dit\u00fdch situac\u00edch je p\u0159esnost d\u016fle\u017eit\u011bj\u0161\u00ed ne\u017e spr\u00e1vnost. Nap\u0159\u00edklad ve zpracovatelsk\u00e9m pr\u016fmyslu je \u010dasto \u017eivotn\u011b d\u016fle\u017eit\u011bj\u0161\u00ed vyr\u00e1b\u011bt zbo\u017e\u00ed, kter\u00e9 je neust\u00e1le identick\u00e9, i kdy\u017e se v\u00fdrazn\u011b odchyluje od po\u017eadovan\u00e9 c\u00edlov\u00e9 hodnoty. Pro kontrolu kvality je z\u00e1sadn\u00ed konzistence a pro zv\u00fd\u0161en\u00ed p\u0159esnosti lze v pr\u016fb\u011bhu \u010dasu prov\u00e1d\u011bt drobn\u00e9 zm\u011bny.<\/p>\n\n

        Kdy na p\u0159esnosti z\u00e1le\u017e\u00ed v\u00edce ne\u017e na preciznosti?<\/strong><\/h3>\n\n

        Za jin\u00fdch okolnost\u00ed je rozhoduj\u00edc\u00ed p\u0159esnost. Vezm\u011bme si l\u00e9ka\u0159skou diagnostiku, kde p\u0159\u00edstroje mus\u00ed poskytovat p\u0159esn\u00e9 v\u00fdsledky, aby byla zaji\u0161t\u011bna \u00fa\u010dinn\u00e1 l\u00e9\u010dba. V tomto p\u0159\u00edpad\u011b m\u016f\u017ee b\u00fdt p\u0159esnost m\u00e9n\u011b d\u016fle\u017eit\u00e1, pokud se v\u00fdsledky nep\u0159ibli\u017euj\u00ed spr\u00e1vn\u00e9 hodnot\u011b.<\/p>\n\n

        Pro\u010d je ve v\u011bd\u011b a technice d\u016fle\u017eit\u00e9 oboj\u00ed?<\/strong><\/h3>\n\n

        Ve v\u011bdeck\u00e9m v\u00fdzkumu a in\u017een\u00fdrstv\u00ed je ide\u00e1ln\u00ed p\u0159esnost a preciznost. P\u0159esnost zaji\u0161\u0165uje, \u017ee va\u0161e experimenty lze d\u016fsledn\u011b opakovat, zat\u00edmco p\u0159esnost zaji\u0161\u0165uje, \u017ee va\u0161e v\u00fdsledky odpov\u00eddaj\u00ed skute\u010dn\u00fdm, o\u010dek\u00e1van\u00fdm hodnot\u00e1m. Nap\u0159\u00edklad p\u0159i prov\u00e1d\u011bn\u00ed chemick\u00e9ho experimentu mus\u00ed b\u00fdt va\u0161e m\u011b\u0159en\u00ed p\u0159esn\u00e1 (bl\u00edzk\u00e1 skute\u010dn\u00fdm chemick\u00fdm vlastnostem) a z\u00e1rove\u0148 p\u0159esn\u00e1 (konstantn\u00ed ve v\u0161ech pokusech).<\/p>\n\n

        Obvykl\u00e9 myln\u00e9 p\u0159edstavy o p\u0159esnosti a spr\u00e1vnosti<\/strong><\/h2>\n\n

        Mnoho lid\u00ed nespr\u00e1vn\u011b pou\u017e\u00edv\u00e1 p\u0159esnost a spr\u00e1vnost jako zam\u011bniteln\u00e9 pojmy. To m\u016f\u017ee zp\u016fsobit pot\u00ed\u017ee, zejm\u00e9na p\u0159i interpretaci dat nebo v\u00fdsledk\u016f.<\/p>\n\n

        Nepochopen\u00ed podm\u00ednek<\/strong>:<\/h3>\n\n

        \u010c\u00edm p\u0159esn\u011bj\u0161\u00ed, t\u00edm p\u0159esn\u011bj\u0161\u00ed<\/strong><\/p>\n\n

        Ne v\u017edy je to pravda. M\u011b\u0159en\u00ed m\u016f\u017ee b\u00fdt extr\u00e9mn\u011b p\u0159esn\u00e9 (konstantn\u00ed), ale p\u0159esto nep\u0159esn\u00e9. Podobn\u011b p\u0159esn\u00e9 m\u011b\u0159en\u00ed nemus\u00ed b\u00fdt p\u0159esn\u00e9, pokud je po\u017eadov\u00e1no pouze jedno m\u011b\u0159en\u00ed.<\/p>\n\n

        P\u0159esnost nen\u00ed d\u016fle\u017eit\u00e1, pokud je p\u0159esnost vysok\u00e1<\/strong><\/p>\n\n

        I kdy\u017e jsou m\u011b\u0159en\u00ed velmi konzistentn\u00ed, mohou se odchylovat od skute\u010dn\u00e9 hodnoty, co\u017e vede k velk\u00fdm nep\u0159esnostem.<\/p>\n\n

        Praktick\u00e9 aplikace v r\u016fzn\u00fdch oborech<\/strong><\/h2>\n\n

        V\u011bda a v\u00fdzkum<\/strong><\/h3>\n\n

        Rozd\u00edl mezi p\u0159esnost\u00ed a preciznost\u00ed je ve v\u011bdeck\u00e9m v\u00fdzkumu z\u00e1sadn\u00ed. V\u011bdci pou\u017e\u00edvaj\u00ed oboj\u00ed k ov\u011b\u0159en\u00ed spolehlivosti a platnosti sv\u00fdch v\u00fdsledk\u016f. Nap\u0159\u00edklad p\u0159i prov\u00e1d\u011bn\u00ed experimentu mus\u00ed zajistit, aby jejich m\u011b\u0159en\u00ed byla konzistentn\u00ed (p\u0159esnost) a p\u0159esn\u00e1 (preciznost).<\/p>\n\n

        In\u017een\u00fdrstv\u00ed a v\u00fdroba<\/strong><\/h3>\n\n

        Ve v\u00fdrob\u011b se \u010dasto klade d\u016fraz na p\u0159esnost, zejm\u00e9na v oblastech, jako jsou automobily a letectv\u00ed. I kdy\u017e se celkov\u00e9 proporce m\u00edrn\u011b li\u0161\u00ed, sou\u010d\u00e1st mus\u00ed d\u016fsledn\u011b zapadat do \u0161ir\u0161\u00edho syst\u00e9mu. Konstrukt\u00e9\u0159i mohou zv\u00fd\u0161it p\u0159esnost kalibrac\u00ed stroj\u016f a n\u00e1stroj\u016f.<\/p>\n\n

        Technologie a anal\u00fdza dat<\/strong><\/h3>\n\n

        P\u0159esnost a preciznost jsou v oblastech, jako je datov\u00e1 v\u011bda a strojov\u00e9 u\u010den\u00ed, stejn\u011b d\u016fle\u017eit\u00e9. Nap\u0159\u00edklad v prediktivn\u00ed analytice je p\u0159esnost m\u00edra, do jak\u00e9 se p\u0159edpokl\u00e1dan\u00e9 hodnoty shoduj\u00ed se skute\u010dn\u00fdmi v\u00fdsledky. P\u0159esnost naproti tomu ud\u00e1v\u00e1, jak \u010dasto jsou tyto p\u0159edpov\u011bdi konzistentn\u011b pravdiv\u00e9.<\/p>\n\n

        Jak zv\u00fd\u0161it p\u0159esnost a preciznost sv\u00e9 pr\u00e1ce?<\/strong><\/h2>\n\n

        Zlep\u0161en\u00ed p\u0159esnosti a preciznosti vy\u017eaduje kombinaci spr\u00e1vn\u00fdch n\u00e1stroj\u016f a metod.<\/p>\n\n

        Kroky ke zlep\u0161en\u00ed p\u0159esnosti<\/strong>y:<\/h3>\n\n
          \n
        1. Kalibrace p\u0159\u00edstroj\u016f<\/strong>: \u010cast\u00e1 kalibrace m\u011b\u0159ic\u00edch p\u0159\u00edstroj\u016f zaru\u010duje p\u0159esnost jejich m\u011b\u0159en\u00ed.<\/li>\n\n\n\n
        2. Pou\u017e\u00edvejte spr\u00e1vn\u00e9 techniky<\/strong>: Pou\u017e\u00edvejte uzn\u00e1van\u00e9 metody, abyste omezili chyby p\u0159i m\u011b\u0159en\u00ed.<\/li>\n\n\n\n
        3. V\u00fdsledky k\u0159\u00ed\u017eov\u00e9 kontroly<\/strong>: Srovn\u00e1n\u00ed m\u011b\u0159en\u00ed se stanoven\u00fdmi krit\u00e9rii nebo hodnotami pom\u00e1h\u00e1 ov\u011b\u0159it jejich spr\u00e1vnost.<\/li>\n<\/ol>\n\n

          Kroky ke zlep\u0161en\u00ed p\u0159esnosti:<\/strong><\/h3>\n\n
            \n
          1. Pak opakovan\u00e1 m\u011b\u0159en\u00ed<\/strong>: V\u00edce m\u011b\u0159en\u00ed a jejich zpr\u016fm\u011brov\u00e1n\u00ed v\u00e1m m\u016f\u017ee pomoci zv\u00fd\u0161it p\u0159esnost.<\/li>\n\n\n\n
          2. Standardizujte metody<\/strong>: Poka\u017ed\u00e9 pou\u017e\u00edvejte stejn\u00fd postup, n\u00e1stroje a okolnosti, abyste omezili odchylky.<\/li>\n\n\n\n
          3. Pou\u017e\u00edvejte vysoce kvalitn\u00ed p\u0159\u00edstroje<\/strong>: Investujte do vylep\u0161en\u00fdch n\u00e1stroj\u016f a vybaven\u00ed, kter\u00e9 poskytuj\u00ed spolehliv\u00e1 a opakovateln\u00e1 m\u011b\u0159en\u00ed pomoc\u00ed vysoce kvalitn\u00edch p\u0159\u00edstroj\u016f.<\/li>\n<\/ol>\n\n

            Z\u00e1v\u011br<\/strong><\/h2>\n\n

            Pochopen\u00ed rozd\u00edlu mezi p\u0159esnost\u00ed a spr\u00e1vnost\u00ed nen\u00ed jen technick\u00fd detail, ale z\u00e1sadn\u00ed pojem, kter\u00fd m\u016f\u017ee ovlivnit kvalitu va\u0161\u00ed pr\u00e1ce. A\u0165 u\u017e prov\u00e1d\u00edte v\u011bdeck\u00fd experiment, pracujete ve v\u00fdrob\u011b nebo analyzujete data, znalost toho, kdy d\u00e1t p\u0159ednost jednomu p\u0159ed druh\u00fdm, m\u016f\u017ee v\u00e9st ke spolehliv\u011bj\u0161\u00edm v\u00fdsledk\u016fm.P\u0159\u00ed\u0161t\u011b, a\u017e budete n\u011bco m\u011b\u0159it, polo\u017ete si ot\u00e1zku: *Hled\u00e1m p\u0159esnost, preciznost, nebo oboj\u00ed?* A jak mohu zlep\u0161it sv\u00e9 postupy, abych dos\u00e1hl oboj\u00edho?<\/p>\n","protected":false},"excerpt":{"rendered":"

            M\u011b\u0159en\u00ed, anal\u00fdza dat a v\u011bdeck\u00fd v\u00fdzkum \u010dasto zam\u011b\u0148uj\u00ed p\u0159esnost a spr\u00e1vnost. P\u0159esto\u017ee zn\u011bj\u00ed toto\u017en\u011b, maj\u00ed tyto dva pojmy odli\u0161n\u00fd v\u00fdznam, kter\u00fd je nezbytn\u00e9 pochopit zejm\u00e9na v oblasti in\u017een\u00fdrstv\u00ed, v\u00fdzkumu a kontroly kvality.<\/p>\n

            V tomto \u010dl\u00e1nku na blogu probereme kl\u00ed\u010dov\u00e9 rozd\u00edly mezi p\u0159esnost\u00ed a spr\u00e1vnost\u00ed, pro\u010d jsou d\u016fle\u017eit\u00e9, a uvedeme p\u0159\u00edklady z praxe. V t\u00e9to eseji vysv\u011btl\u00edme, pro\u010d jsou tyto dva v\u00fdrazy pro v\u011bdce, studenty a nad\u0161ence do m\u011b\u0159en\u00ed jedine\u010dn\u00e9 a vz\u00e1jemn\u011b se dopl\u0148uj\u00ed.<\/p>\n","protected":false},"author":1,"featured_media":10733,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-10824","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized-cs"],"yoast_head":"\nP\u0159esnost vs. p\u0159esnost: V \u010dem je rozd\u00edl\uff1f - ChansMachining<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/chansmachining.com\/cs\/presnost-vs-presnost\/\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"P\u0159esnost vs. p\u0159esnost: V \u010dem je rozd\u00edl\uff1f - ChansMachining\" \/>\n<meta property=\"og:description\" content=\"M\u011b\u0159en\u00ed, anal\u00fdza dat a v\u011bdeck\u00fd v\u00fdzkum \u010dasto zam\u011b\u0148uj\u00ed p\u0159esnost a spr\u00e1vnost. P\u0159esto\u017ee zn\u011bj\u00ed toto\u017en\u011b, maj\u00ed tyto dva pojmy odli\u0161n\u00fd v\u00fdznam, kter\u00fd je nezbytn\u00e9 pochopit zejm\u00e9na v oblasti in\u017een\u00fdrstv\u00ed, v\u00fdzkumu a kontroly kvality. V tomto \u010dl\u00e1nku na blogu probereme kl\u00ed\u010dov\u00e9 rozd\u00edly mezi p\u0159esnost\u00ed a spr\u00e1vnost\u00ed, pro\u010d jsou d\u016fle\u017eit\u00e9, a uvedeme p\u0159\u00edklady z praxe. 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