On Sample Size Determination
DOI:
https://doi.org/10.15415/mjis.2014.31005Keywords:
Accuracy, Precision, Confidence interval, margin of error, mean, proportion, sampling errorAbstract
One of the questions most frequently asked of a statistician is: How big should the sample be? Managers are anxious to obtain an answer to this fundamental question during the planning phase of the survey since it impacts directly on operational considerations such as the number of interviewers required. There is no magical solution and no perfect recipe for determining sample size. It is rather a process of compromise in which the precision requirements of the estimates are weighed against various operational
constraints such as available budget, resources and time. In this article, we revisit to the estimate of sample size for various project characteristics. Examples for each are supported numerically.
Downloads
References
L indsey, J. (1999). Revealing Statistical Principles. Arnold Publishers, London.
Survey Methods and Practices. (2010). Statistics Canada, Editors: Sarah Franklin and Charlene Walker, (www.statcan.gc.ca).
Downloads
Published
How to Cite
Issue
Section
License
Articles in Mathematical Journal of Interdisciplinary Sciences (Math. J. Interdiscip. Sci.) by Chitkara University Publications are Open Access articles that are published with licensed under a Creative Commons Attribution- CC-BY 4.0 International License. Based on a work at https://mjis.chitkara.edu.in. This license permits one to use, remix, tweak and reproduction in any medium, even commercially provided one give credit for the original creation.
View Legal Code of the above mentioned license, https://creativecommons.org/licenses/by/4.0/legalcode
View Licence Deed here https://creativecommons.org/licenses/by/4.0/
 |
Mathematical Journal of Interdisciplinary Sciences by Chitkara University Publications is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at https://mjis.chitkara.edu.in |
