The variance is given by:
\[
\text{Variance} = \frac{\sum (x_i - \mu)^2}{n}
\]
Where \( \mu \) is the mean and \( x_i \) are the data points.
Calculate the mean:
\[
\mu = \frac{9 + 10 + 13 + 14 + 6 + 11 + 8 + 7 + 4 + 18}{10} = 9.9
\]
Then calculate the squared deviations and the average squared deviation:
\[
\text{Variance} = \frac{(9 - 9.9)^2 + (10 - 9.9)^2 + \dots + (18 - 9.9)^2}{10} = 13.6
\]