Standard deviation: A measure that quantifies how spread out or dispersed individual weights are from the average weight.
Central Limit Theorem: This principle states that regardless of the shape of the underlying population, if we repeatedly take samples and calculate their means, those sample means will be normally distributed.
Confidence interval: A range around the sample mean that is likely to contain the true population mean with a certain level of confidence.