A null hypothesis says that there is no statistical significance between the two variables in a hypothesis. It is denoted by H0 and it also states that there is no difference between the groups being studied. And the p-values refer to the probability that, how likely it is to get a result like this if the null hypothesis were true.
A hypothesis is a tentative statement about the relationship between two or more variables. It can be more than a guess but less than a well-established theory. For example, if you use mobile phones for a long time, you will have a headache.
The decisions about the hypothesis are made in statistical analysis. These decisions include deciding whether the test gives a meaningful result, or the null hypothesis is accepted or rejected. Some important concepts related to hypothesis testing are as follows: