• Entry
  • Reader's guide
  • Entries A-Z
  • Subject index

In statistical hypothesis testing (or tests of significance), one assumes that the null hypothesis is true about a reference population and attempts to reject it by seeking evidence for the alternative hypothesis. This is done by taking a sample and evaluating whether the sample provides evidence to support the alternative hypothesis. To do so, it is customary to compute the p value. The rejection of the null hypothesis depends on the comparison of the p value with a threshold probability value (chosen by the experimenter), which is referred to as the α level (or level of significance) of the test and is symbolized as the Greek letter α. This entry discusses the calculation and interpretation of the α level, the history of its use in ...

    • Loading...
    locked icon

    Sign in to access this content

    Get a 30 day FREE TRIAL

    • Watch videos from a variety of sources bringing classroom topics to life
    • Read modern, diverse business cases
    • Explore hundreds of books and reference titles