Type:

Other

Description:

Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This second installment of Explorations in Statistics delves into test statistics and P values, two concepts fundamental to the test of a scientific null hypothesis. The essence of a test statistic is that it compares what we observe in the experiment to what we expect to see if the null hypothesis is true. The P value associated with the magnitude of that test statistic answers this question: if the null hypothesis is true, what proportion of possible values of the test statistic are at least as extreme as the one I got? Although statisticians continue to stress the limitations of hypothesis tests, there are two realities we must acknowledge: hypothesis tests are ingrained within science, and the simple test of a null hypothesis can be useful. As a result, it behooves us to explore the notions of hypothesis tests, test statistics, and P values.

Subjects:

  • Education > General
  • Mathematics > General

Education Levels:

    Keywords:

    Statistics,NSDL,NSDL_SetSpec_BEN,General,Standards,Education,hypothesis,Mathematics,Teacher-centered/traditional instruction,Tutorial or self-directed instruction,Student-centered instruction,oai:nsdl.org:2200/20110607195028118T

    Language:

    English

    Access Privileges:

    Public - Available to anyone

    License Deed:

    Creative Commons Attribution Non-Commercial Share Alike

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