Null distribution

In statistical hypothesis testing, the null distribution is the probability distribution of the test statistic when the null hypothesis is true.[1] For example, in an F-test, the null distribution is an F-distribution.[2] Null distribution is a tool scientists often use when conducting experiments. The null distribution is the distribution of two sets of data under a null hypothesis. If the results of the two sets of data are not outside the parameters of the expected results, then the null hypothesis is said to be true.

Null and alternative distribution
  1. ^ Staley, Kent W. An Introduction to the Philosophy of Science. 2014. p. 142. ISBN 9780521112499.
  2. ^ Jackson, Sally Ann. Random Factors in ANOVA. 1994. p. 38. ISBN 9780803950900.