type 1 error
A type 1 error is also known as a false positive and occurs when a researcher incorrectly rejects a true null hypothesis
This means that you report that your findings are significant when they have occurred by chance.
type 2 error
A type 2 error (or false negative) happens when you accept the null hypothesis when it should actually be rejected.
a researcher concludes there is not a significant effect when actually there really is.