Significance Level: The significance level is another term for alpha level. It represents the probability of making a Type I error, which is rejecting the null hypothesis when it's actually true.
Rejecting the Null Hypothesis: When statistical analysis provides sufficient evidence against the null hypothesis, we reject it in favor of an alternative hypothesis.
Type I Error: Type I error occurs when we reject a true null hypothesis. It means falsely concluding that there is a significant effect or relationship when there isn't one.