Final answer:
A Type I error is when you falsely reject a true null hypothesis, while a Type II error is when you fail to reject a false null hypothesis.
Step-by-step explanation:
a. A consequence of committing a Type I error is that you would falsely reject a true null hypothesis. This means that you would conclude there is a significant effect or relationship when there actually isn't one. It is also known as a false positive.b. A consequence of committing a Type II error is that you would fail to reject a false null hypothesis. This means that you would fail to see a significant effect or relationship when there actually is one. It is also known as a false negative.