Proceedings of the 2015 International Conference on Social Science and Technology Education

Study on Sample Outliers Statistical Test Methods

Authors
Chen ZhiYong
Corresponding Author
Chen ZhiYong
Available Online April 2015.
DOI
https://doi.org/10.2991/icsste-15.2015.20How to use a DOI?
Keywords
Outliers; Statistical Test; Sample Data; Test Statistics
Abstract

The exist ence of outliers reduces the quality of data to a great extent, and makes the corresponding results of data analysis significantly change more, which will lead to people’s inaccurate judgments. In this article, we discuss the characteristics and origin of outliers, and introduce some test methods of normal distribution sample: sample quantity method, Dixon test method, Grubbs test method and Nair test method. Finally through example comparison, we have found that the test effect is associated with significant level.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Social Science and Technology Education
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2015
ISBN
978-94-62520-60-8
ISSN
2352-5398
DOI
https://doi.org/10.2991/icsste-15.2015.20How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chen ZhiYong
PY  - 2015/04
DA  - 2015/04
TI  - Study on Sample Outliers Statistical Test Methods
BT  - Proceedings of the 2015 International Conference on Social Science and Technology Education
PB  - Atlantis Press
SP  - 61
EP  - 63
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsste-15.2015.20
DO  - https://doi.org/10.2991/icsste-15.2015.20
ID  - ZhiYong2015/04
ER  -