University of Bahrain
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Statistical Issues in Small and Large Sample: Need of Optimum Upper Bound for the Sample Size

Show simple item record Chandrasekharan, Subramanian Sreedharan, Jayadevan Gopakumar, Aji 2019-10-29T09:46:53Z 2019-10-29T09:46:53Z 2019-11-01
dc.description.abstract As fewer samples are meaningless and lead to fallacious conclusions, researchers are used to calculate minimum sample size before the conduct of any study. Although the larger samples can yield more accurate results, an extent for maximum sample size is not fixed. Though large samples are able to give précised and accurate estimates, the studies that collect more samples than the minimum required, may lead to fallacious conclusions. Generally, the test statistics are increasing functions of sample size and limit of the p value (as ‘n’ tents to infinity) results the statistical significance. The current paper investigated the pattern of changes in the estimates and testing results for varying sample sizes. The assessment of this type of patterns in the data and an extended study on this topic will help to find an interval for the sample size. Study concluded with a finding that larger sample does not make differences on the values of descriptive statistics, but has significant impact on the values of inferential statistics and therefore an upper bound for the sample size needs to be fixed. Hence this article gives relevant information about the need of finding adequate sample size interval (n1, n2) within which valid statistical conclusions can be derived, that assures significance of real difference. en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Small sample size en_US
dc.subject Large sample size en_US
dc.subject Sample size interval en_US
dc.subject Upper bound of sample size en_US
dc.subject Issues at large sample en_US
dc.title Statistical Issues in Small and Large Sample: Need of Optimum Upper Bound for the Sample Size en_US
dc.volume Volume 6 en_US
dc.issue Issue 2 en_US
dc.contributor.authorcountry India en_US
dc.contributor.authorcountry UAE en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation Department of Statistics, Annamalai University, Chidhambaram, Tamilnadu, India en_US
dc.contributor.authoraffiliation College of Medicine, Department of Community Medicine, Gulf Medical University (GMU), Ajman, UAE en_US
dc.contributor.authoraffiliation Research Scholar, Annamalai University, Annamalai Nagar, Tamilnadu, India en_US
dc.source.title International Journal of Computational and Theoretical Statistics en_US

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