Study on Sample Outliers Statistical Test Methods
- 10.2991/icsste-15.2015.20How to use a DOI?
- Outliers; Statistical Test; Sample Data; Test Statistics
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.
- © 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 - 10.2991/icsste-15.2015.20 ID - ZhiYong2015/04 ER -