Answer:
population variance
Explanation:
A variance may be defined as the average of squares of the differences between the individual value or the observed value and the expected value. It describes how much does a random variable differs from the expected value. It is the measure of how far the set of numbers are spread out.
Thus the population variance is the average of squared deviation of an individual population measurement from the mean of the population.
Hence the answer is -- population variance.
