Applying Computer Simulation to Analyze the Normal Approximation of Binomial Distribution

淡江大學機構典藏 > 商管學院 > 管理科學學系暨研究所 > 期刊論文 > Item 987654321/113072

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/113072

题名:	Applying Computer Simulation to Analyze the Normal Approximation of Binomial Distribution
作者:	Chang, Horng-Jinh;Lee, Ming-Chen
关键词:	binomial distribution;computer simulation;data analyzing;normal distribution
日期:	2017-10-31
上传时间:	2018-04-12 12:10:40 (UTC+8)
出版者:	Computer Society of R.O.C., Taiwan
摘要:	Many statistical analyses were implicitly based on the normal distribution, and as a consequence, researchers would need to adopt the central limit theorem to perform the subsequent data analysis. When applying the central limit theorem, the sample size should be 30 or above in order to have the sampling distribution of sample means to be approximated to the normal distribution. Chang et al. (2006 and 2008) showed that when applying the central limit theorem, the sample size should vary depending on the probability distribution type. As a result, the present study examined if the sample size suggested by many textbooks for using the central limit theorem is appropriate. This study uses computer simulation on approximation of the binomial distribution to the normal distribution. It is to explore the minimum sample size required for a binomial distribution to approximate the normal distribution and be replaced by the normal distribution.
關聯:	Journal of Computers 28(5), p.116-131
DOI:	10.3966/199115992017102805011
显示于类别:	[管理科學學系暨研究所] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
Applying Computer Simulation to Analyze the Normal Approximation of Binomial Distribution.pdf		2527Kb	Adobe PDF	35	检视/开启
index.html		0Kb	HTML	195	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章