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Statistical Packages for Data Analysis

  • N. Sreekumaran Nair
  • K. T. Harichandrakumar
  • N. Ravishankar
Chapter

Abstract

  • This chapter provides a brief overview of the commonly used popular statistical packages for thesis or research project data analysis and report preparation.

  • A comprehensive discussion on the strength, weakness and utility of packages namely Microsoft Excel, SPSS, PS, nMaster, Stata, Epi-info and EZR has been provided.

  • The steps for installing data analysis add-in in MS Excel, using Master and gadgets of Epi-info have been described.

References

  1. 1.
    About Microsoft Excel [Internet]. 2017 [cited 2017 Nov 12]. https://products.office.com/en-in/excel.
  2. 2.
    About SPSS [Internet]. 2017 [cited 2017 Nov 12]. https://www.ibm.com/analytics/us/en/technology/spss/.
  3. 3.
    About Power and Sample Size Programme [Internet]. 2017 [cited 2017 Nov 12]. http://biostat.mc.vanderbilt.edu/wiki/Main/PowerSampleSize.
  4. 4.
    About nMaster [Internet]. 2017 [cited 2017 Nov 12]. http://www.nmaster.cmc-biostatistics.ac.in/.
  5. 5.
    About Stata [Internet]. 2017 [cited 2017 Nov 12]. http://www.stata.com/.
  6. 6.
    About Epi Info [Internet]. 2016 [cited 2017 Nov 12]. https://www.cdc.gov/epiinfo/index.html.
  7. 7.
    About EZR [Internet]. 2017 [cited 2017 Nov 12]. https://www.r-project.org/about.html.

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • N. Sreekumaran Nair
    • 1
  • K. T. Harichandrakumar
    • 1
  • N. Ravishankar
    • 2
  1. 1.Department of BiostatisticsJawaharlal Institute of Postgraduate Medical Education and ResearchPondicherryIndia
  2. 2.Department of StatisticsManipal UniversityManipalIndia

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