Skip to main content

The Sample and Its Properties

  • Chapter
  • First Online:
Book cover Statistics for Bioengineering Sciences

Part of the book series: Springer Texts in Statistics ((STS))

  • 5516 Accesses

Abstract

The famous American statistician John Tukey once said, “Exploratory data analysis can never be the whole story, but nothing else can serve as the foundation stone – as the first step.” The term exploratory data analysis is selfdefining. Its simplest branch, descriptive statistics, is the methodology behind approaching and summarizing experimental data. No formal statistical training is needed for its use.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Chapter References

  • Anderson, E. (1935). The Irises of the Gaspe Peninsula. Bull. Am. Iris Soc., 59, 2–5.

    Google Scholar 

  • Andrews, F. D. (1972). Plots of high dimensional data. Biometrics, 28, 125–136.

    Article  Google Scholar 

  • Bowley, A. L. (1920). Elements of Statistics. Scribner, New York.

    Google Scholar 

  • Brillinger, D. R. (2001). Time Series: Data Analysis and Theory. Classics Appl. Math. 36, SIAM, pp 540.

    MathSciNet  Google Scholar 

  • Brockwell, P. J. and Davis, R. A. (2009). Introduction to Time Series and Forecasting. Springer, New York.

    Google Scholar 

  • Brozek, J., Grande, F., Anderson, J., and Keys, A. (1963). Densitometric analysis of body composition: revision of some quantitative assumptions. Ann. New York Acad. Sci., 110, 113–140.

    Article  Google Scholar 

  • Chernoff, H. (1973). The use of faces to represent points in k-dimensional space graphically. J. Am. Stat. Assoc., 68, 361–366.

    Article  Google Scholar 

  • Christov, I., Dotsinsky, I., Simova, I., Prokopova, R., Trendafilova, E., and Naydenov, S. (2006). Dataset of manually measured QT intervals in the electrocardiogram. BioMed. Eng. OnLine, 5, 31 doi:10.1186/1475-925X-5-31. The electronic version of this article can be found online at:http://www.biomedical-engineering-online.com/content/5/1/31

    Article  Google Scholar 

  • David, H. A. (1998). Early sample measures of variability. Stat. Sci., 13, 4, 368–377.

    Article  MATH  Google Scholar 

  • Farrell B., Bulgakova M., Hodson-Tole E.F., Shah S., Gregor R.J., Prilutsky B.I. (2009). Short-term locomotor adaptations to denervation of lateral gastrocnemius and soleus muscles in the cat. In: Proceedings of the Society for Neuroscience meeting, 17–21 October 2009, Chicago.

    Google Scholar 

  • Fisher, R.A. (1936). The use of multiple measurements in taxonomic problems. Ann. Eugen. 7, Pt. II, 179–188.

    Article  Google Scholar 

  • Gauss, C. F. (1816). Bestimmung der Genauigkeit der Beobachtungen. Zeitschrift Astron., 1, 185–197.

    Google Scholar 

  • Johnson, R. W. (1996). Fitting percentage of body fat to simple body measurements. J. Stat. Educ., 4, 1. http://www.amstat.org/publications/jse/v4n1/datasets.johnson.html

    Google Scholar 

  • Kaufman, L. and Rock, I. (1962). The moon illusion. Science, 136, 953–961.

    Article  Google Scholar 

  • Moors, J. J. A. (1988). A Quantile Alternative for Kurtosis. Statistician, 37, 25–32.

    Article  Google Scholar 

  • Morrison, D. F. (1976). Multivariate Statistical Methods, 2nd edn. McGraw-Hill, New York

    MATH  Google Scholar 

  • Nicholson, A. J. (1954). An Outline of the Dynamics of Animal Populations. Aust. J. Zool., 2, 1, 9–65.

    Article  MathSciNet  Google Scholar 

  • Nightingale, F. (1858). Notes on matters affecting the health, efficiency, and hospital administration of the British army. Founded chiefly on the experience of the late war. Presented by request to the Secretary of State for War. Privately printed for Miss Nightingale, Harrison and Sons.

    Google Scholar 

  • Penrose, K., Nelson, A., and Fisher, A. (1985). Generalized body composition prediction equation for men using simple measurement techniques (abstract). Med. Sc. Sports Exerc., 17, 2, 189.

    Article  Google Scholar 

  • Percy, M. E., Andrews, D. F., Thompson, M. W., and Opitz J. M. (1981). Duchenne muscular dystrophy carrier detection using logistic discrimination: Serum creatine kinase and hemopexin in combination. Am. J. Med. Genet., 8, 4, 397–409.

    Article  Google Scholar 

  • Rao, C. R. (1948). Tests of significance in multivariate analysis. Biometrika, 35, 58–79.

    MATH  MathSciNet  Google Scholar 

  • Shumway, R. H. and Stoffer, D. S. (2005). Time Series Analysis and Its Applications. Springer Texts in Statistics, Springer, New York.

    Google Scholar 

  • Siri, W. E. (1961). Body composition from fluid spaces and density: Analysis of methods. In Techniques for Measuring Body Composition, Eds. J. Brozek and A. Henzchel. National Academy of Sciences, Washington, 224–244.

    Google Scholar 

  • Stevens, S. S. (1946). On the theory of scales of measurement. Science, 103, 2684, 677–680. PMID 17750512.

    Article  Google Scholar 

  • Sturges, H. (1926). The choice of a class-interval. J. Am. Stat. Assoc., 21, 65–66.

    Google Scholar 

  • Velleman, P. F. and Wilkinson, L. (1993). Nominal, ordinal, interval, and ratio typologies are misleading. Am. Stat., 47, 1, 65–72.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brani Vidakovic .

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Vidakovic, B. (2011). The Sample and Its Properties. In: Statistics for Bioengineering Sciences. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0394-4_2

Download citation

Publish with us

Policies and ethics