The document discusses sampling and bias in surveys. It defines population as the entire group being studied, and sample as a smaller subset of the population. It notes that an unbiased sample accurately represents the population, while a biased sample over or underrepresents parts of the population. It then provides examples of samples that may be biased based on who is surveyed, and gives guidance on rewriting biased survey questions in a neutral way. Finally, it presents a scenario using a random sample of 40 students out of 960 to predict how many total students favor a proposed change.