Population is like superset of sample. The population and sample for this case are:
The difference between population and sample is that sample is taken from the population.
We do sampling so that we don't have to work on entire population of items but only on that sample in a way that we can predict information about population.
Most of the times, it isn't possible in real world to work on entire populations. Samples come out for rescue by assumptions that they will have some properties of the population pertained in them.
Thus, the sample should be taken out such that it includes data of the population as much  as it can in unbiased way so as to imitate population.
For this case, we have:
75 students were randomly selected from the junior class at a high school.
Since 75 students were selected from junior class, thus:
Learn more about sampling here:
https://brainly.com/question/24842573