Statistical hypothesis test

The above image shows a table with some of the most common test statistics and their corresponding tests or models.

A statistical hypothesis test is a method of statistical inference used to decide whether the data sufficiently supports a particular hypothesis. A statistical hypothesis test typically involves a calculation of a test statistic. Then a decision is made, either by comparing the test statistic to a critical value or equivalently by evaluating a p-value computed from the test statistic. Roughly 100 specialized statistical tests have been defined.[1][2]

  1. ^ Lewis, Nancy D.; Lewis, Nigel Da Costa; Lewis, N. D. (2013). 100 Statistical Tests in R: What to Choose, how to Easily Calculate, with Over 300 Illustrations and Examples. Heather Hills Press. ISBN 978-1-4840-5299-0.
  2. ^ Kanji, Gopal K. (18 July 2006). 100 Statistical Tests. SAGE. ISBN 978-1-4462-2250-8.