Confidence Interval: A confidence interval provides a range of values within which population parameters likely fall at a certain level of confidence (e.g., 95% confidence interval).
Type I Error: Also known as a false positive, it occurs when we reject the null hypothesis when it is actually true.
Type II Error: Also known as a false negative, it occurs when we fail to reject the null hypothesis when it is actually false.