Presenting and Summarising the Data

  • Joaquim P. Marques de Sá

Abstract

Presenting and summarising the data is certainly the introductory task in any statistical analysis problem and comprehends a set of topics and techniques, collectively known as descriptive statistics.

Keywords

Clay Titanium Covariance Sorting Editing 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anderson TW, Finn JD (1996) The New Statistical Analysis of Data. Springer-Verlag New York, Inc.Google Scholar
  2. Beltrami E (1999) What is Random? Chance and Order in Mathematics and Life. Springer-Verlag New York, Inc.Google Scholar
  3. Bendat JS, Piersol AG (1986) Random Data Analysis and Measurement Procedures. Wiley, I nterscience.MATHGoogle Scholar
  4. Biran A, Breiner M (1995) MATLAB for Engineers, Addison-Wesley Pub. Co. Inc.Google Scholar
  5. Buja A, Tukey PA (1991) Computing and Graphics in Statistics. Springer-Verlag.Google Scholar
  6. Chatfield C (1981) Statistics for Technology. Chapman and Hall Inc.Google Scholar
  7. Cleveland WS (1984) Graphical Methods for Data Presentation: Full Scale Breaks, Dot Charts, and Multibased Logging. The American Statistician, 38: 270 - 280.Google Scholar
  8. Cleveland WS (1984) Graphs in Scientific Publications. The American Statistician, 38, 270280.Google Scholar
  9. Cox DR, Snell EJ (1981) Applied Statistics. Chapman & Hall Inc.Google Scholar
  10. Dixon WJ, Massey Jr FJ (1969). Introduction to Statistical Analysis. McGraw Hill Pub. Co.Google Scholar
  11. Foster JJ (1993) Starting SPSS/PC+ and SPSS for Windows. Sigma Press.Google Scholar
  12. Gilbert N (1976) Statistics. W. B. Saunders Co.Google Scholar
  13. Green SB, Salkind NJ, Akey TM (1997) Using SPSS for Windows. Analyzing and Understanding Data. Prentice-Hall, Inc.Google Scholar
  14. Hoel PG (1976) Elementary Statistics. John Wiley & Sons Inc., Int. Ed.Google Scholar
  15. Iversen GR (1997) Statistics. The Conceptual Approach. Springer-Verlag.Google Scholar
  16. Johnson RA, Bhattacharyya GK (1987) Statistics. Principles & Methods. John Wiley and Sons, Inc.Google Scholar
  17. Larson I (1975) Statistics: An Introduction. John Wiley & Sons, Inc.Google Scholar
  18. Martinez WL, Martinez AR (2002) Computational Statistics Handbook with MATLABW. Chapman and Hall/CRC.Google Scholar
  19. Meyer SL (1975) Data Analysis for Scientists and Engineers. John Wiley and Sons, Inc.Google Scholar
  20. Milton JS, McTeer PM, Corbet JJ (2000) Introduction to Statistics. McGraw Hill College Div.Google Scholar
  21. Mood AM, Graybill FA, Boes DC (1974) Introduction to the Theory of Statistics. McGraw-Hill Pub. Co.Google Scholar
  22. Nie NH, Hull CH, Jenkins JG, Steinbrenner K, Bent DH (1970) Statistical Package for the Social Sciences. McGraw Hill Pub. Co.Google Scholar
  23. Salsburg D (2001) The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century. W H Freeman & Co.MATHGoogle Scholar
  24. Sanders DH (1990) Statistics. A Fresh Approach. McGraw-Hill Pub. Co.Google Scholar
  25. Scott DW (1979) On Optimal and Data-Based Histograms. Biometrika, 66: 605 - 610.MathSciNetMATHCrossRefGoogle Scholar
  26. Sellers GR (1977) Elementary Statistics. W. B. Saunders Co.Google Scholar
  27. Spiegel MR, Schiller J, Srinivasan RA (2000) Schaums Outline of Theory and Problems of Probability and Statistics. McGraw-Hill Pub. Co.Google Scholar
  28. Sturges HA (1926) The Choice of a Class Interval. J. Am. Statist. Assoc., 21: 65 - 66.CrossRefGoogle Scholar
  29. Waller RA (1979) Statistics. An Introduction to Numerical Reasoning. Holden-Day Inc.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Joaquim P. Marques de Sá
    • 1
  1. 1.Faculdade de EngenhariaUniversidade do PortoPortoPortugal

Personalised recommendations