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.
Difference between type I and type II errors
Type I and type II errors in statistical hypothesis testing

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