IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v172y2009i2p287-306.html
   My bibliography  Save this article

Modern statistics: the myth and the magic

Author

Listed:
  • David J. Hand

Abstract

Summary. The paper is a personal exploration of the puzzling contradiction between the fundamental excitement of statistics and its poor public image. It begins with the historical foundations and proceeds through the role of applications and the dramatic impact of the computer in shaping the discipline. The mismatch between the reality of statistics and its public perception arises from a number of dichotomies, some of which are explored. In particular, although statistics is perhaps typically seen as an impersonal discipline, in some sense it is very personal, and many of its applications are aimed at providing unique benefit to individuals. This benefit depends on the creation of detailed data sets describing individuals, but the contrary view is that this represents an invasion of privacy. Some observations on statistical education are made, and issues which will affect the future health of the discipline are examined.

Suggested Citation

  • David J. Hand, 2009. "Modern statistics: the myth and the magic," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(2), pages 287-306, April.
  • Handle: RePEc:bla:jorssa:v:172:y:2009:i:2:p:287-306
    DOI: 10.1111/j.1467-985X.2009.00583.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-985X.2009.00583.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1467-985X.2009.00583.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. T. M. F. Smith, 1993. "Populations and Selection: Limitations of Statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 156(2), pages 145-166, March.
    2. T. M. F. Smith & L. Staetsky, 2007. "The teaching of statistics in UK universities," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 581-622, July.
    3. David J. Bartholomew, 1995. "What is Statistics?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(1), pages 1-20, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jim Ridgway, 2016. "Implications of the Data Revolution for Statistics Education," International Statistical Review, International Statistical Institute, vol. 84(3), pages 528-549, December.
    2. Dina El Kayaly, 2013. "Towards more real-live teachings of business statistics: a Review of Challenges, Teaching Innovations and Strategies for Reform in Egypt," Working Papers 2013/21, Maastricht School of Management.
    3. Sylvia Richardson, 2022. "Statistics in times of increasing uncertainty," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1471-1496, October.
    4. John Pullinger, 2013. "Statistics making an impact," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 819-840, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhiqiang Zheng & Balaji Padmanabhan, 2006. "Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution," Management Science, INFORMS, vol. 52(5), pages 697-712, May.
    2. Marta Benková & Dagmar Bednárová & Gabriela Bogdanovská & Marcela Pavlíčková, 2022. "Redesign of the Statistics Course to Improve Graduates’ Skills," Mathematics, MDPI, vol. 10(15), pages 1-26, July.
    3. Dina El Kayaly, 2013. "Towards more real-live teachings of business statistics: a Review of Challenges, Teaching Innovations and Strategies for Reform in Egypt," Working Papers 2013/21, Maastricht School of Management.
    4. Matilde Trevisani & Arjuna Tuzzi, 2015. "A portrait of JASA: the History of Statistics through analysis of keyword counts in an early scientific journal," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1287-1304, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jorssa:v:172:y:2009:i:2:p:287-306. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.