Sample Size Determination

K. Muralidharan ()
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K. Muralidharan: M. S. University of Baroda, Department of Statistics, Faculty of Science

Chapter Chapter 6 in Six Sigma for Organizational Excellence, 2015, pp 81-97 from Springer

Abstract: Abstract 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 chapter, we revisit to the estimate of sample size for various project characteristics. Tables and examples for each are supported numerically.

Keywords: Accuracy; Precision; Confidence interval; Margin of error; Mean; Median; Proportion; Sampling error (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-2325-2_6

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DOI: 10.1007/978-81-322-2325-2_6

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