Explaining the difference between the two Hypothesis is a simple task. Being straight forward in explaining Null Hypothesis is the concept that the hypothesis is implied as nothing. This type of hypothesis states that there is no difference between the variables. The null hypothesis is the belief that there is a status quo or no change to variables. There are several examples you can use to show a null hypothesis such as: There is no relationship between shoe size and height, there is no difference between factory workers based on their race. This last example would be mine if I decided to use a Null Hypothesis. Experience on the job has no impact on risk analysis of nuclear power plants