Answer:
13.5
Explanation:
Sum of squared deviation = 135
Variance is defined as the Sum of the Squared Deviations from the mean divided by the number of terms.
Since, we have to find the population variance we will divide the sum of squared deviation by N which is 10 in this case. For the variance of a sample, the sum of squared deviations is divided by (N - 1).
Therefore, the estimated population variance would be:
