關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Applying Computer Simulation to Analyze the Normal Approximation of Binomial Distribution

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序號 學年期 教師動態
1 106/1 管科系 張紘炬 教授 期刊論文 發佈 Applying Computer Simulation to Analyze the Normal Approximation of Binomial Distribution , [106-1] :Applying Computer Simulation to Analyze the Normal Approximation of Binomial Distribution期刊論文Applying Computer Simulation to Analyze the Normal Approximation of Binomial DistributionHorng-Jinh Chang; Ming-Chen Leebinomial distribution;computer simulation;data analyzing;normal distributionJournal of Computers 28(5), p.116-131Many 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 appropr
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