IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-81-322-2831-8_5.html
   My bibliography  Save this book chapter

Population and Sample

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

The main objective of studying statistics is to characterize population, defined as the collection of well-defined entities having some common characteristics. The observations or entities could refer to anything like persons, plants, animals, and objects (books, pens, pencils, medicines, engines, etc.), and a character is defined on the population. Population may be constituted of persons living in a country, population of goats in a country, population of books in a library, population of fishes in a particular pond, population of farmers in a country, populations of students in a country/state/university, etc. Individual member of the population is known as element or unit of the population. Population size refers to the number of observations in the population. Depending upon the size of the population, a population may be finite or infinite. A finite population is having fixed number of observations/units/elements, e.g., population of students in a university, germplasms of mango in a mango garden, books in a particular library, population of cattle in a province, and so on. On the other hand, an infinite population is having infinite number of observations/units/elements. For example, fishes in a particular river, stars in a galaxy, population of hairs on a person’s head, etc. An infinite population may be infinite or countably infinite.

Suggested Citation

  • Pradip Kumar Sahu, 2016. "Population and Sample," Springer Books, in: Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields, chapter 5, pages 113-132, Springer.
    • Handle: RePEc:spr:sprchp:978-81-322-2831-8_5
    DOI: 10.1007/978-81-322-2831-8_5
    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_5. 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.