VERIFICATION OF NORMALITY AS A BASIC PRECONDITION FOR THE USE OF QUALITY MANAGEMENT TOOLS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F21%3A43962157" target="_blank" >RIV/49777513:23210/21:43962157 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.grantjournal.com/issue/1001/PDF/1001.pdf" target="_blank" >https://www.grantjournal.com/issue/1001/PDF/1001.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

VERIFICATION OF NORMALITY AS A BASIC PRECONDITION FOR THE USE OF QUALITY MANAGEMENT TOOLS

Popis výsledku v původním jazyce

The aim of this paper is to present the possibilities of verifying the assumption of a normal distribution of data for further statistical processing, without the need to study an inexhaustible number of methods and hypotheses about statistical data processing. The main idea is that, for example, companies in the automotive industry, where standards such as IATF 16949 require 100% control and the use of statistical tools for process monitoring, have easy guidance on how to verify relevant input data for further statistical processing. The normal distribution of data is one of the most common distributions that data has. At the same time, it is the most suitable for statistical tools, because it is possible to predict that the evaluated process will behave the same under the same input conditions. Without this verification, further data processing would not have sufficient explanatory power about the monitored parameter

Název v anglickém jazyce

VERIFICATION OF NORMALITY AS A BASIC PRECONDITION FOR THE USE OF QUALITY MANAGEMENT TOOLS

Popis výsledku anglicky

The aim of this paper is to present the possibilities of verifying the assumption of a normal distribution of data for further statistical processing, without the need to study an inexhaustible number of methods and hypotheses about statistical data processing. The main idea is that, for example, companies in the automotive industry, where standards such as IATF 16949 require 100% control and the use of statistical tools for process monitoring, have easy guidance on how to verify relevant input data for further statistical processing. The normal distribution of data is one of the most common distributions that data has. At the same time, it is the most suitable for statistical tools, because it is possible to predict that the evaluated process will behave the same under the same input conditions. Without this verification, further data processing would not have sufficient explanatory power about the monitored parameter

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

GRANT journal

ISSN

1805-062X

e-ISSN

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Svazek periodika

10

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

5

Strana od-do

71-75

Kód UT WoS článku

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EID výsledku v databázi Scopus

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