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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    GRANT journal

  • ISSN

    1805-062X

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    5

  • Pages from-to

    71-75

  • UT code for WoS article

  • EID of the result in the Scopus database