True statements include:

1) type I error refers to erroneously concluding there is a difference when none actually exists

2) type II error refers to not identifying a difference when one actually exists

3) the ability of a statistical test to detect a difference is termed power

4) type II error usually occurs w/ a very large sample size

Any or all answers may be correct!