Final answer:
To find the sample variance, calculate the mean of the data and subtract it from each weight. Square the differences, sum them up, and divide by (n - 1). The sample variance of the given data is 2.
Step-by-step explanation:
To find the sample variance, we can use the formula:
Variance = (Σ(x - μ)²) / (n - 1)
First, calculate the mean of the data. Add up all the weights and divide by the number of data points:
Mean = (4 + 2 + 5 + 4 + 5 + 2 + 6) / 7 = 4
Next, subtract the mean from each weight and square the result:
(4 - 4)² = 0
(2 - 4)² = 4
(5 - 4)² = 1
(4 - 4)² = 0
(5 - 4)² = 1
(2 - 4)² = 4
(6 - 4)² = 4
Add up all the squared differences:
0 + 4 + 1 + 0 + 1 + 4 + 4 = 14
Finally, divide the sum by (n - 1), where n is the number of data points:
Variance = 14 / (7 - 1) = 2
Therefore, the sample variance is 2.