Final answer:
The data set of the amount of energy collected from every wind turbine on a wind farm is a population because it contains information on all units being studied, which in this case are all of the turbines on the wind farm.
Step-by-step explanation:
If we are considering the data set that includes the amount of energy collected from every wind turbine on a wind farm, then we are dealing with a population. This is because a population, in statistical terms, refers to the entire group that is being studied. In this case, if every wind turbine on that specific wind farm is being accounted for in the data set, then it encompasses all the units of interest for that particular study or analysis. There are no units left out or unaccounted for, which would be the case if we were dealing with a sample subset of wind turbines.
Conversely, a sample would be a smaller, selected subset of that wind farm's turbines if, for instance, you were only measuring the energy from a handful of turbines to make inferences about the entire wind farm's production. A sample is used when it's impractical or impossible to collect data from every member of a population, but in this scenario, you've collected data from the entire set of turbines, qualifying it as population data.