**The lower the p-value, the stronger the evidence that you should reject the null hypothesis. ****The higher the p-value, there is not enough evidence to reject the null hypothesis.**

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.

if p-value < α,

Reject the Null Hypothesis**Right-Tailed Test**– The rejection region is present on the right.

if p-value < α,

Reject the Null Hypothesis**Two-Tailed Test**– The rejection Region is present on both ends.

if 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.