Sampling distribution: A theoretical distribution that represents the possible values of a statistic, like the mean or proportion, based on repeated random sampling from a population.
Central Limit Theorem: States that as sample size increases, the sampling distribution of the mean approaches a normal distribution regardless of the shape of the original population.
Random sample: A subset of individuals or objects chosen from a larger population in such a way that each member has an equal chance of being selected.