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Part of the book series: Springer Protocols Handbooks ((SPH))

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Abstract

Define the terms sample, population, and statistic. Introduce the concept of bias in sampling methods. Demonstrate how the sample size impacts the standard error. Illustrate several methods that exist on how to sample a population. Become familiar with the inherent advantages and disadvantages of the sampling methods.

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Suggestions for Further Reading

  1. Gould R, Ryan C (2011) Introductory statistics: exploring the world through data. Pearson Education, New York, NY

    Google Scholar 

  2. Groves R (2004) Survey errors and survey costs. Wiley-Interscience, New York, NY

    Google Scholar 

  3. Sowder J, Sowder L, Nickerson S (2012) Reconceptualizing mathematics. W.H. Freeman and Company, New York, NY

    Google Scholar 

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Correspondence to Angela Conley B.A., M.A. .

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© 2016 Springer Science+Business Media New York

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Conley, A., Pfefferkorn, J. (2016). Sampling for Biostatistics. In: Micic, M. (eds) Sample Preparation Techniques for Soil, Plant, and Animal Samples. Springer Protocols Handbooks. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3185-9_2

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  • DOI: https://doi.org/10.1007/978-1-4939-3185-9_2

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-3184-2

  • Online ISBN: 978-1-4939-3185-9

  • eBook Packages: Springer Protocols

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