The variance is a measure of the spread of a dataset. It is calculated as the average of the squared differences from the mean. The formula for variance is:

Var(X) = sum((Xi – X_mean)^2) / n

Where:

• Var(X) is the variance of the dataset X
• Xi is the ith element in X
• X_mean is the mean of the dataset X
• n is the number of elements in X

To calculate the variance, you simply need to:

1. Calculate the mean of the dataset X.
2. For each element in the dataset X, subtract the mean and square the result.
3. Sum the squared differences from step 2.
4. Divide the sum by the number of elements in the dataset X to get the variance.