This document discusses key concepts in sampling fundamentals. It defines statistics and parameters, with statistics describing characteristics of a sample and parameters describing characteristics of a population. It provides formulas for calculating the sample mean, sample variance, population mean, and population variance. It also explains the law of large numbers, where the sample mean gets closer to the population mean as the sample size increases, and the central limit theorem, where the sample mean approaches a normal distribution as the sample size increases.