Answer:
Statistical Inference
Explanation:
Sampling refers to a form of statistical analysis wherein some items from the whole population are selected for analysis, the results of which would represent the collective result had all the observations been selected and subjected to analysis.
Sampling risk is inversely related to the size of the sample. Higher the sample size, more accurate would be the results and thus lesser the sampling risk.
In the given case, the sample size is 800 students. The results derived from the analysis of the said sample have been construed to be true for all the students of the university which includes those students which did not form part of the sample size.
This is referred to as statistical inference as sampling being a statistical tool.