Here are the essential concepts you must grasp in order to answer the question correctly.
Population
A population refers to the entire group of individuals or items that share a common characteristic. In statistics, it encompasses all possible observations that can be made. For example, if we consider the annual revenue of every team in a pro sports league, this group represents the complete population since it includes all teams without exception.
Recommended video:
Population Standard Deviation Known
Sample
A sample is a subset of a population, selected to represent the larger group. It is used in statistical analysis to draw conclusions about the population without needing to collect data from every member. If we were to analyze the annual revenue of only a few selected teams rather than all teams in the league, that would constitute a sample.
Recommended video:
Sampling Distribution of Sample Proportion
Data Collection Context
Understanding the context of data collection is crucial in determining whether a data set is a population or a sample. In this case, since the question specifies 'the annual revenue of each team in a pro sports league,' it indicates that all teams are included, thus confirming that the data set is a population rather than a sample.
Recommended video:
Visualizing Qualitative vs. Quantitative Data