TEST OF MOBILE PHONES SCREEN DATA BASED ON THE MAHALANOBIS DISTANCE

F. Z. Okwonu
{"title":"TEST OF MOBILE PHONES SCREEN DATA BASED ON THE MAHALANOBIS DISTANCE","authors":"F. Z. Okwonu","doi":"10.5987/UJ-NJSE.17.133.1","DOIUrl":null,"url":null,"abstract":"A survey was conducted to obtain data set on scratched mobile smart and ordinary (conventional) phones screen, and to further investigate if the data set obtained are normally distributed or not. The Mahalanobis distance, the correlation coefficient, Chi squared and the quantile quantile plots are applied to determine if the data set obtained based on the categorization is normally distributed or otherwise. The techniques revealed that the data set are not normally distributed. The mean and the standard deviation approach based on the concept of data contamination validated the previous conclusions. At  level of significance, the hypothesis was rejected, implying non-normality of the data set. In general, the conclusions based on all techniques indicated that the data set are not normally distributed. This implies that though users of mobile phones are both diligent and non-diligent alike","PeriodicalId":119603,"journal":{"name":"Nigerian Journal of Science and Environment","volume":"86 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nigerian Journal of Science and Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5987/UJ-NJSE.17.133.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A survey was conducted to obtain data set on scratched mobile smart and ordinary (conventional) phones screen, and to further investigate if the data set obtained are normally distributed or not. The Mahalanobis distance, the correlation coefficient, Chi squared and the quantile quantile plots are applied to determine if the data set obtained based on the categorization is normally distributed or otherwise. The techniques revealed that the data set are not normally distributed. The mean and the standard deviation approach based on the concept of data contamination validated the previous conclusions. At  level of significance, the hypothesis was rejected, implying non-normality of the data set. In general, the conclusions based on all techniques indicated that the data set are not normally distributed. This implies that though users of mobile phones are both diligent and non-diligent alike
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于马氏距离的手机屏幕数据测试
通过调查,获得划伤的移动智能手机和普通(传统)手机屏幕上的数据集,进一步调查所获得的数据集是否为正态分布。通过马氏距离、相关系数、卡方和分位数图来判断基于分类得到的数据集是否为正态分布。该技术揭示了数据集不是正态分布的。基于数据污染概念的均值和标准差法验证了之前的结论。在显著性水平上,假设被拒绝,这意味着数据集的非正态性。总的来说,基于所有技术的结论表明数据集不是正态分布的。这意味着,虽然手机用户既勤奋,也不勤奋
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Spread of Multi-drug Resistant Aerosolised Salmonella sp and Escherichiacoli from Dumpsites in Built Environment of Abraka Town, Nigeria TEST OF MOBILE PHONES SCREEN DATA BASED ON THE MAHALANOBIS DISTANCE TOXICITY ASSESSMENT OF THREE PESTICIDES ON AFRICAN CATFISH (CLARIAS GARIEPINUS) DETERMINATION OF POLLUTION INDEX OF BENIN RIVER FLOWING THROUGH OGHARA INDUSTRIAL SITE OF ETHIOPE WEST L.G.A, NIGERIA SEDIMENTOLOGY AND PETROGRAPHY ATTRIBUTES OF OUTCROPPING SEDIMENTS OF COASTAL PLAIN SANDS FROM ABUDU AND ITS ENVIRONS, SOUTHERN NIGERIA
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1