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Heuristic Methods for Checking the Normality of Measurement Data with Graphical and Numerical Tests

  • In this contribution, we present heuristic methods for checking the normality of measurement data. First, the importance of this issue and the consequences of ignoring it for the interpretation and visualization of measurement results are explained. In addition, the basic knowledge of the normal distribution is provided. The main part describes and visualizes the selected graphical and analyticalIn this contribution, we present heuristic methods for checking the normality of measurement data. First, the importance of this issue and the consequences of ignoring it for the interpretation and visualization of measurement results are explained. In addition, the basic knowledge of the normal distribution is provided. The main part describes and visualizes the selected graphical and analytical tests utilizing a sample data set from a load cell. The article concludes with a comparison of the advantages and disadvantages of the different tests.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/11647
Bibliografische Angaben
Title (English):Heuristic Methods for Checking the Normality of Measurement Data with Graphical and Numerical Tests
Conference:2025 IEEE Sensors Applications Symposium (08-10 July 2025 : Newcastle, United Kingdom)
Author:Nikolai HangstStaff MemberORCiDGND, Thomas WendtStaff MemberORCiDGND, Stefan RupitschORCiD
Year of Publication:2025
Place of publication:New York, USA
Publisher:IEEE
Page Number:6
First Page:1
Last Page:6
Parent Title (English):2025 IEEE Sensors Applications Symposium (SAS 2025) Proceedings
ISBN:979-8-3315-1194-4 (Print on Demand)
ISBN:979-8-3315-1193-7 (Electronisch)
ISSN:2994-9300 (Print on Demand)
ISSN:2766-3078 (Electronisch)
DOI:https://doi.org/10.1109/SAS65169.2025.11105185
URL:https://ieeexplore.ieee.org/document/11105185
Language:English
Inhaltliche Informationen
Institutes:Fakultät Wirtschaft (W)
Research:WLRI - Work-Life Robotics Institute
Collections of the Offenburg University:Bibliografie
Tag:Measurement data; Measurement errors; Normal distribution; Normality test; Statistic
Storage of research data:Sonstiges
Formale Angaben
Relevance for "Jahresbericht über Forschungsleistungen":1-fach | Konferenzbeitrag
Open Access: Closed 
Licence (German):License LogoUrheberrechtlich geschützt
Comment:
Peer-reviewed at the direction of IEEE Instrumentation and Measurement Society prior to the acceptance and publication.