Name the sampling method that best fits the scenario below. A student in a large lecture class wants to know how the rest of the class did on the last exam. She asks several of the students to share their score who are sitting around her. Based on that information she concludes she did fairly well. Choose the correct sampling method below. Simple Random Sample. Stratified Random Sampling. Convenience Sampling. Cluster Sampling Census

In this scenario, the student is using a method that heavily relies on the convenience of nearby peers rather than randomly selecting from the entire class. This approach can lead to biased results, as it may not accurately represent the overall performance of the entire class. Remember, surrounding students might share similar academic abilities or scores! For a more accurate representation, it's best to use random sampling methods that ensure every student has an equal chance of being selected. This way, you'll get a results set that reflects the true diversity and performance of the entire class!