Study on Sample Outliers Statistical Test Methods

DOI

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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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  - 10.2991/icsste-15.2015.20
ID  - ZhiYong2015/04
ER  -