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IJIET 2013 Vol.3(5): 567-570 ISSN: 2010-3689
DOI: 10.7763/IJIET.2013.V3.336

Economical Model of Selecting an Appropriate Sample Size of Experiments

Ful-Chiang Wu, Chi-Hao Yeh, and Cheng-Hsiung Chen

Abstract—The orthogonal array and sample size determine the experimental cost. Selection of an appropriate sample size is one the most important aspects of any experimental design problem. The choice of sample size and the probabilities of type I error and type II error are closely connected in traditional experimental design. We can specify the and , and then decide the standard deviation based on the prior experience to calculate the ratio, , of absolute value for difference in means dividing by standard deviation. The required sample size n is obtained from operating characteristic curve. The purpose of this paper is to present economical models for selecting an appropriate sample size based on the testing cost of observations and loss by adopting a wrong level and probability of factor. Some tables are provided that can be used to select sample size for the variances of two populations are known or unknown.

Index Terms—Economical model, sample size, type I error , type II error .

Ful-Chiang Wu is with the Department of Management and Information Technology, Vanung University, Tao-Yuan, Taiwan (tel.:+886-3-4515811-61647; fax: +886-3-4613715; e-mail: shogo@vnu.edu.tw).
Chi-Hao Yeh is with the Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, Taiwan (e-mail: chyeh@ntut.edu.tw).
Cheng-Hsiung Chen is with the Department of Information Management, Hsing Wu University, New Taipei City, Taiwan (e-mail: 101051@mail.hwu.edu.tw).


Cite:Ful-Chiang Wu, Chi-Hao Yeh, and Cheng-Hsiung Chen, "Economical Model of Selecting an Appropriate Sample Size of Experiments," International Journal of Information and Education Technology vol. 3, no. 5, pp. 567-570, 2013.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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