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Abstract Details
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Activity Number:
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578
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #301236 |
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Title:
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How Large Should a Statistical Sample Be?
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Author(s):
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Violeta Cruz Menil*+ and Ruili Ye
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Companies:
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The City University of New York and The City University of New York
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Address:
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Hostos Community College, Bronx, NY, 10451, US
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Keywords:
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population size ;
precision ;
confidence level ;
sample estimate
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Abstract:
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The aim of this study was limited to determining various sample sizes (n) when estimating population proportion p. Tables were generated using a C++ program which depends on population size (N), degree of precision, or error level (E), and confidence level (Z). Nineteen different population sizes, five degrees of precision and three levels of confidence were utilized. The study found out that the larger the population size, (N), the smaller the degree of precision (E) and the higher the probability/confidence level (Z), the larger the sample size must be. Two values for the sample estimate of the population proportion, p were used in this study. Practical applications of randomly pulling appropriate number of samples from huge data sets were also discussed.
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