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.
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