In statistics, a null hypothesis says "there is no phenomenon". It is a hypothesis that is presumed true until statistical evidence in the form of a hypothesis test indicates otherwise. For example, if we want to compare the test scores of two random samples of men and women, a null hypothesis would be that the mean score in the male population from which the first sample was drawn was the same as the mean score in the female population from which the second sample was drawn.