The **p-value** is a value calculated from a statistical test like a z-test or t-test which **represents the area of the test statistic value** like z statistics or t statistics. It is used to perform Hypothesis Testing.

ifp-value < α , Reject the Null Hypothesis

where **α** is the **level of significance. **The most common values of **α **are **0.01, 0.05, and 0.10.**

**Left-Tailed Test**– The rejection region is present on the left.

*p-value < α, Reject the Null Hypothesis***Right-Tailed Test**– The rejection region is present on the right.

*p-value < α, Reject the Null Hypothesis***Two-Tailed Test**– The rejection Region is present on both ends.

**2****p-value < α, Reject the Null Hypothesis*

To reject the null hypothesis, you need to find evidence against it. A p-value is used to help you accept or reject the null hypothesis. The p-value is the evidence against a null hypothesis. **The smaller the p-value, the stronger the evidence that you should reject the null hypothesis.**