In this post, we will discuss the P-value definition, interpretation, introduction, and some related examples.

### P-value Definition

The P-value also known as the observed *level of significance* or exact *level of significance* or the exact probability of committing a *type-I error* (probability of rejecting $H_0$, when it is true), helps to determine the significance of results from the hypothesis. The P-value is the probability of obtaining the observed sample results or a more extreme result when the null hypothesis (a statement about population) is true.

In technical words, one can define the P-value as the lowest level of significance at which a null hypothesis can be rejected. If the