This document discusses populations, samples, and sample bias. It defines a population as the whole group of interest, while a sample is a subset of the population. Taking a random sample is important to avoid bias, where every member has an equal chance of being selected. The document provides examples of populations like all 7th graders at a school, and samples like surveying a classroom. It explains how non-random samples from convenience can produce biased results, while random sampling helps ensure the sample accurately represents the overall population. Students are assigned to collect data from a sample on a topic and population, and analyze if their sample showed any bias.