Critical values are specific points on a distribution that help determine whether to reject or fail to reject the null hypothesis in hypothesis testing. They divide the rejection region from non-rejection region based on significance levels.
Related terms
Significance Level: In hypothesis testing, it is denoted by alpha (ฮฑ) and represents the probability of rejecting a true null hypothesis.
Two-Tailed Test: A hypothesis test where both extreme ends of the distribution are considered for rejection regions.
One-Sample t-test: A type of t-test used when comparing a sample mean to a known population mean.