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Skewness in Applied Analysis of Normality

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F20%3AA210276O" target="_blank" >RIV/61988987:17450/20:A210276O - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-030-63319-6_86" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-63319-6_86</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-63319-6_86" target="_blank" >10.1007/978-3-030-63319-6_86</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Skewness in Applied Analysis of Normality

  • Original language description

    In the quantitative research, the property of the normality of data is an important assumption. For the particular selection of the concrete statistical methods, e.g. for purposes of the testing the hypotheses, the knowledge of the normality of data has the significant role. There exists a wide spectrum of methods aimed for the purposes of the testing the normality. These tests are based on the consideration of the statistical significance level. In this paper, a descriptive approach to an analysis of the normality is realized with regards to the sample parameter of the skewness. This parameter is explored with a consideration of the changing sample size in the frame of the applied quantitative research with 2671 respondents. The shapes of the histograms are discussed in a context of the obtained results of the parameter of the skewness. The trend of the dependence of the skewness on the Shapiro-Wilk criterion is analyzed using the regression analysis.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Software Engineering Perspectives in Intelligent Systems (vol.2), Advances in Intelligent Systems and Computing (vol. 1295)

  • ISBN

    978-3-030-63318-9

  • ISSN

    2194-5357

  • e-ISSN

    2194-5365

  • Number of pages

    11

  • Pages from-to

    927-937

  • Publisher name

    Springer Nature

  • Place of publication

    Cham

  • Event location

    Zlin

  • Event date

    Oct 14, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article