Answer:
8
Step-by-step explanation:
To find the value of the sample variance, we use the formula below:

First, we determine the mean of the data: 3, 9, 4, 4, 4, 9, 9

Next, we find the sum of the squares of the mean deviation.

Therefore, the sample variance is:

The sample variance is 8.