To find the variance of a set of data, we need to follow these steps:
1. Find the mean of the data set.
2. Subtract the mean from each data point, and then square each difference.
3. Find the sum of the squared differences.
4. Divide the sum by the number of data points.
To find the variance of 1, 2, 0, -3, 5, -2, 4, we first need to find the mean:
mean = (1 + 2 + 0 - 3 + 5 - 2 + 4) / 7 = 7 / 7 = 1
Next, we subtract the mean from each data point and square the differences:
(1 - 1)^2 = 0
(2 - 1)^2 = 1
(0 - 1)^2 = 1
(-3 - 1)^2 = 16
(5 - 1)^2 = 16
(-2 - 1)^2 = 9
(4 - 1)^2 = 9
Then we find the sum of the squared differences:
0 + 1 + 1 + 16 + 16 + 9 + 9 = 52
Finally, we divide the sum by the number of data points:
52 / 7 = 7.43 (rounded to two decimal places)
Therefore, the variance of the data set is approximately 7.43.
So the correct option is (A) \(\frac{52}{7}\).