# p-value

## A Simple Explanation - By Varsha Saini

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.

```if p-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.