If the null hypothesis for the sign test is false, 50% of the population will fall below the median and 50% will fall above the median.

Question

Quizplus · Accepted Answer

If the null hypothesis for the sign test is false, it implies that the median of the population does not lead to an equal split of the data, meaning not exactly 50% of the population will fall below or above the median. The sign test is used to test hypotheses about the median of a population, and rejecting the null hypothesis suggests a deviation from the assumed median value.

If the Null Hypothesis for the Sign Test Is False