Susan wants to estimate the mean number of siblings for each student in her school. She records the number of siblings for each of 200 randomly selected students in the school. What is the population? all the students in the school the mean number of siblings for the randomly selected students the specific number of siblings for each randomly selected student the mean number of siblings for all students in the school the 200 randomly selected students

The population in this case is all the students in the school. When Susan set out to estimate the mean number of siblings, she wanted to learn about the entire group of students, not just the sample she recorded. This broader group is what offers the complete picture, making them the population of interest. It's crucial to understand the difference between a population and a sample, especially in statistics! Populations encompass every member of a defined group (like all students), while samples are the smaller subsets (like the 200 students Susan selected) used to infer information about the larger population. By accurately identifying the population, Susan can make better estimates based on her findings.