What is Difference between null hypothesis and alternative hypothesis ?

 In statistics, a hypothesis is a statement that is tested to determine if it is true or not. There are two types of hypotheses: the null hypothesis and the alternative hypothesis.

The null hypothesis (H0) is a statement that there is no significant difference between two groups or variables. It is usually a statement of "no effect" or "no relationship" between the variables being studied. The null hypothesis is often the starting point for a statistical analysis, and the goal is to determine whether there is sufficient evidence to reject it.

The alternative hypothesis (Ha or H1) is a statement that there is a significant difference or relationship between two groups or variables. It is the opposite of the null hypothesis and is usually what the researcher is trying to prove. The alternative hypothesis is only accepted if there is sufficient evidence to reject the null hypothesis.

In short, the null hypothesis is the default assumption that there is no significant difference or relationship between two groups or variables, while the alternative hypothesis is the opposite of the null hypothesis and is what the researcher is trying to prove.