In statistics, the null hypothesis is a statement that assumes there is no significant difference between two or more sets of data or variables. It is usually denoted by "H0" and serves as the default position until statistical evidence is gathered to reject or accept it. The null hypothesis is a vital tool in hypothesis testing, as it provides a baseline to compare alternative hypotheses against.
The null hypothesis is a statement that assumes there is no statistical relationship or difference between variables being compared in a study. It is typically denoted as "H0" and is used as a starting point for hypothesis testing. Researchers test the null hypothesis against an alternative hypothesis to determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis. In simpler terms, the null hypothesis assumes that there is no effect or relationship, and the alternative hypothesis suggests that there is a significant effect or relationship between the variables being studied.
