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ERIC Number: EJ1069016
Record Type: Journal
Publication Date: 2015
Pages: 8
Abstractor: As Provided
ISSN: ISSN-1942-2504
Improved Margin of Error Estimates for Proportions in Business: An Educational Example
Arzumanyan, George; Halcoussis, Dennis; Phillips, G. Michael
American Journal of Business Education, v8 n3 p185-192 2015
This paper presents the Agresti & Coull "Adjusted Wald" method for computing confidence intervals and margins of error for common proportion estimates. The presented method is easily implementable by business students and practitioners and provides more accurate estimates of proportions particularly in extreme samples and small sample situations. The proposed method may have particular applications to focus group analysis, industry benchmarking, and destructive testing sampling. The paper discusses a computational strategy and several comparison examples.
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A