## Difference between type 1 and type 2 errors in statistical hypothesis testing: How to interpret it

#### Difference between type 1 and type 2 errors

In statistical test theory, the concept of a statistical error is an integral part of hypothesis testing. The Hypothesis test is about choosing between the two hypotheses, the Null Hypothesis or Alternative Hypothesis. The **Null hypothesis is** presumed to be true until the data provide convincing evidence against it.

**What is Hypothesis Testing and How to do Hypothesis testing**

Any hypothesis testing is not 100% accurate. There will be scope for some error. There are two types of error that can occur. These errors are :

**Type 1 and****Type 2.**

In the above image we can see there are four different … Continue Reading