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Vol.4 , No. 1, Publication Date: Feb. 27, 2018, Page: 1-7
&description=It is very important to determine the proper or accurate sample size in any field of research. Sometimes researchers cannot take the decision that how many number of individuals or objects will they select for their study purpose. Also, a set of survey data is used to verify that central limit theorem (CLT) for different sample sizes. From the data of 1348 students we got the average weight for our population of BRAC University students is 62.62 kg with standard deviation 11.79 kg. We observed that our sample means became better estimators of true population mean. In addition, the shape of the distribution became more Normal as the sample size increased. So it is concluded that our simulation results were consistent with central limit theorem.&picture=http://www.aascit.org/aascit/decorators/img/journal/928.jpg)
| [1] | Mohammad Rafiqul Islam, Department of Mathematics and Natural Sciences (MNS), BRAC University, Dhaka, Bangladesh. |
It is very important to determine the proper or accurate sample size in any field of research. Sometimes researchers cannot take the decision that how many number of individuals or objects will they select for their study purpose. Also, a set of survey data is used to verify that central limit theorem (CLT) for different sample sizes. From the data of 1348 students we got the average weight for our population of BRAC University students is 62.62 kg with standard deviation 11.79 kg. We observed that our sample means became better estimators of true population mean. In addition, the shape of the distribution became more Normal as the sample size increased. So it is concluded that our simulation results were consistent with central limit theorem.
Keywords
Sample Size, Inference, Precision, Confidence Interval (CI), Population and Sample
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