IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-032-03848-7_10.html

Popular Statistical Tests

In: Fundamentals of Statistical Inference

Author

Listed:
  • Konstantin M. Zuev

    (California Institute of Technology, Department of Computing and Mathematical Sciences)

Abstract

In the previous chapter, we discussed a general framework for hypothesis testing. Our next goal is to consider several specific statistical tests that are often used in practice. In this chapter, we will learn the Wald test and the t-test for testing simple hypotheses, the Kolmogorov-Smirnov test for testing the equality of probability distributions, the likelihood ratio test, which, thanks to its power, is one of the most widely used tests in parametric inference, and an elegant nonparametric permutation test for testing whether two samples were generated by the same data generating process. To illustrate how these tests can be used in applications, we will consider two case studies: we will compare the cholesterol levels in men and women and will statistically test Mendel’s theory of inheritance.

Suggested Citation

  • Konstantin M. Zuev, 2026. "Popular Statistical Tests," International Series in Operations Research & Management Science, in: Fundamentals of Statistical Inference, chapter 10, pages 213-261, Springer.
    • Handle: RePEc:spr:isochp:978-3-032-03848-7_10
    DOI: 10.1007/978-3-032-03848-7_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:isochp:978-3-032-03848-7_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.