type 1 and type 2 error - hallucination

[ArchivalUser]

can some one plz explain these two in context of p value?

[ArchivalUser]

Type 1 error is actually when you reject th null hypothesis while it is true. Type 2 error is when you don't reject the H0 while it is not true. So, the pvalue is the level of your significance for p (type 1 error). When you say p<0.05 it means there is less than 5% chance that you reject the null hypothesis while it's right.