IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-81-322-2831-8_10.html
   My bibliography  Save this book chapter

Basic Experimental Designs

In: Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields

Author

Listed:
  • Pradip Kumar Sahu

    (Bidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Statistics)

Abstract

Statistical tolls or techniques are used to extract information, which otherwise remain hidden, from a set of data. As has been mentioned earlier, data can be gathered/collected from existing population (through sample survey technique/census method) or can be collected by conducting experiment as per the objective of the experimenter. In the first case, the researcher has little choice of controlling the external factors while collecting information from the existing population; the maximum the researcher can do is to orient the collected data from a befitting sample so as to explain the objective in mind. This type of data collection is mostly used in social, economical, political, and other fields. On the other hand, in the second option, the researcher has greater control over the data to be collected for specific purpose through experimentation. The researchers can exercise control to the extraneous factors to some extent allowing the desirable factors to vary. To examine the performance of different varieties of paddy with respect to yield, the experimenter can select the varieties as per the objective of the program and put all the varieties essentially under the same protocol so that only the source of variation can be the varieties. In this chapter we are concerned about such experimental procedure, collection of data and their analyses toward meaningful inference about the objectives the experimenter has in mind.

Suggested Citation

  • Pradip Kumar Sahu, 2016. "Basic Experimental Designs," Springer Books, in: Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields, chapter 10, pages 319-363, Springer.
  • Handle: RePEc:spr:sprchp:978-81-322-2831-8_10
    DOI: 10.1007/978-81-322-2831-8_10
    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:978-81-322-2831-8_10. 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.