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
—