{"title":"Applied SPSS for Business and Marketing","authors":"K. Lay, Aung Cho","doi":"10.31142/IJTSRD24013","DOIUrl":null,"url":null,"abstract":"Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT SPSS (Statistical Package for the Social Sciences) is powerful to analyze business and marketing data. This paper intends to support business and marketing leaders the benefits of data analyzing with applied SPSS. It showed the data analysis of job satisfactions on years of experience. As SPSS’s background algorithms, it showed the cross tabulation algorithm for cross tabulation table and Pearson chi-square algorithm for data significant. And then Sample data ‘demo.sav’ was downloaded from Google and was analyzed and viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7.","PeriodicalId":14446,"journal":{"name":"International Journal of Trend in Scientific Research and Development","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Trend in Scientific Research and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31142/IJTSRD24013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
应用SPSS进行商业和市场营销
版权所有©2019由作者和《国际科学研究与发展趋势杂志》所有。这是一篇在知识共享署名许可(CC BY 4.0) (http://creativecommons.org/licenses/ BY /4.0)条款下发布的开放获取文章摘要SPSS(社会科学统计软件包)是分析商业和营销数据的强大工具。本文旨在支持企业和营销领导者的数据分析与应用SPSS的好处。它显示了工作满意度与多年工作经验的数据分析。作为SPSS的后台算法,交叉表采用交叉表算法,数据显著性采用Pearson卡方算法。然后是样本数据演示。sav '从谷歌下载,并进行了分析和查看。它使用IBM SPSS统计版本23和PYTHON版本3.7。
本文章由计算机程序翻译,如有差异,请以英文原文为准。