Type I Error:Occurs when a true null hypothesis is incorrectly rejected, denoted by $\alpha$.
Power of a Test: The probability that the test correctly rejects a false null hypothesis, calculated as 1 - $\beta$.
Null Hypothesis ($H_0$): A statement that there is no effect or no difference, serving as the starting assumption for hypothesis testing.