Statistical Summaries of Data

  • Dean P. Foster
  • Robert A. Stine
  • Richard P. Waterman

Abstract

This class introduces simple, effective ways of describing data. All of the computations and graphing will be done by JMP. Our task — and it is the important task — is to learn how to selectively interpret the results and communicate them to others. The priorities are as follows: first, displaying data in useful, clear ways; second, interpreting summary numbers sensibly.

Keywords

Normal Model Risky Asset Kernel Density Estimate Executive Compensation Normal Quantile 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Dean P. Foster
    • 1
  • Robert A. Stine
    • 1
  • Richard P. Waterman
    • 1
  1. 1.Department of Statistics, Wharton SchoolUniversity of PennsylvaniaPhiladelphiaUSA

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