The hypothesis or alternate hypothesis is usually hidden in a word problem, and is sometimes a statement of what you expect to happen in the experiment or a claim of what will happen. Null hypothesis is statement of what will happen if the hypothesis or alternate doesn’t come true. Null hypothesis is the opposite statement of the actual hypothesis. When you accept the null hypothesis, you are essentially saying there is no different. For example, “I can live with a 5% or less that my hypothesis is wrong (or null hypothesis), not more than 5%”— that is the idea of statistical significance. The p-value stands for probability value.