IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-05555-8_3.html
   My bibliography  Save this book chapter

Numerical Description of Data

In: Applied Statistical Methods in Agriculture, Health and Life Sciences

Author

Listed:
  • Bayo Lawal

    (Kwara State University, Department of Statistics and Mathematical Sciences)

Abstract

The graphic procedures described in the last chapter help us to visualize the pattern of a data set. To obtain a more objective summary description and a comparison of data sets, we must go one step further and formulate quantitative measures for important aspects such as the location of center of the data and the amount of variability present in the data. To effectively present the ideas and associated formulas, it is convenient to represent a data set by symbols to prevent the discussion from becoming anchored to a specific set of numbers. A data set consists of a number of measurements symbolically represented by $x_1, x_2, \cdots, x_n$ . The last subscript n denotes the number of measurements in the data and $x_1, x_2, \cdots,$ represents the first observation, the second observation and so on.

Suggested Citation

  • Bayo Lawal, 2014. "Numerical Description of Data," Springer Books, in: Applied Statistical Methods in Agriculture, Health and Life Sciences, edition 127, chapter 3, pages 33-57, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-05555-8_3
    DOI: 10.1007/978-3-319-05555-8_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-3-319-05555-8_3. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.