Statistics and Sampling Distributions

  • Jay L. Devore
  • Kenneth N. Berk
Part of the Springer Texts in Statistics book series (STS)


This chapter helps make the transition between probability and inferential statistics. Given a sample of \( n \) observations from a population, we will be calculating estimates of the population mean, median, standard deviation, and various other population characteristics (parameters).


  1. Larsen, Richard, and Morris Marx, An Introduction to Mathematical Statistics and Its Applications (4th ed.), Prentice Hall, Englewood Cliffs, NJ, 2005. More limited coverage than in the book by Olkin et al., but well written and readable.Google Scholar
  2. Olkin, Ingram, Cyrus Derman, and Leon Gleser, Probability Models and Applications (2nd ed.), Macmillan, New York, 1994. Contains a careful and comprehensive exposition of limit theorems.zbMATHGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

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

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