If \(X^+\) and \(X^-\) are the number of positive and negative signs, respectively, then the test statistic is computed as \(X = \min\\]
Hypothesis is the complementary hypothesis to the null hypothesis.
The null hypothesis is a statement about the population median, under the assumption of no effect, and the alternative The test has, as every other hypothesis test, two non-overlaping hypotheses, the null and the alternative hypothesis. It is typically used when the assumptions for a z-test for one mean are not met (namely, when the distribution departs significantly from normality). More about the sign test for you to understand in a better way the results presented above: A sign test is a parametric test used to assess claims about a population median.