Central Limit Theorem: States that if we have a large enough sample size, regardless of population shape, the sampling distribution for sample means will be approximately normally distributed.
Independent Samples: Two samples are said to be independent if knowing what happens in one has no effect on probabilities for what happens in another.
Hypothesis Testing: A statistical method used to make decisions about an assumption regarding a population parameter based on evidence provided by observed data.