Overview and Descriptive Statistics

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

Abstract

Statistical concepts and methods are not only useful but indeed often indispensable in understanding the world around us. They provide ways of gaining new insights into the behavior of many phenomena that you will encounter in your chosen field of specialization.

Keywords

Cholesterol Combustion Clay Fatigue Starch 

Bibliography

  1. Chambers, John, William Cleveland, Beat Kleiner, and Paul Tukey, Graphical Methods for Data Analysis, Brooks/Cole, Pacific Grove, CA, 1983. A highly recommended presentation of both older and more recent graphical and pictorial methodology in statistics.Google Scholar
  2. Freedman, David, Robert Pisani, and Roger Purves, Statistics (4th ed.), Norton, New York, 2007. An excellent, very nonmathematical survey of basic statistical reasoning and methodology.Google Scholar
  3. Hoaglin, David, Frederick Mosteller, and John Tukey, Understanding Robust and Exploratory Data Analysis, Wiley, New York, 1983. Discusses why, as well as how, exploratory methods should be employed; it is good on details of stem-and-leaf displays and boxplots.Google Scholar
  4. Hoaglin, David and Paul Velleman, Applications, Basics, and Computing of Exploratory Data Analysis, Duxbury Press, Boston, 1980. A good discussion of some basic exploratory methods.Google Scholar
  5. Moore, David, Statistics: Concepts and Controversies (7th ed.), Freeman, San Francisco, 2010. An extremely readable and entertaining paperback that contains an intuitive discussion of problems connected with sampling and designed experiments.Google Scholar
  6. Peck, Roxy, and Jay Devore, Statistics: The Exploration and Analysis of Data (7th ed.), Brooks/Cole, Boston, MA, 2012. The first few chapters give a very nonmathematical survey of methods for describing and summarizing data.Google Scholar
  7. Peck, Roxy, et al. (eds.), Statistics: A Guide to the Unknown (4th ed.), Thomson-Brooks/Cole, Belmont, CA, 2006. Contains many short, nontechnical articles describing various applications of statistics.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Statistics DepartmentCalifornia Polytechnic State UniversitySan Luis ObispoUSA
  2. 2.Department of MathematicsIllinois State UniversityNormalUSA

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