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Variance Example Suppose we have the data set {3, 5, 8, 1} and we want to find the population variance. The mean is given as (3 + 5 + 8 + 1) / 4 = 4.25. Then by using the definition of variance we get [(3 - 4.25)2 + (5 - 4.25)2 + (8 - 4.25)2 + (1 - 4.25)2] / 4 = 6.68. Thus, variance = 6.68.
How Do I Calculate Variance? Calculate the mean of the data. Find each data point's difference from the mean value. Square each of these values. Add up all of the squared values. Divide this sum of squares by n ? 1 (for a sample) or N (for the population).
Schedule Variance (SV) Schedule Variance can be calculated using the following formula: Schedule Variance (SV) = Earned Value (EV) ? Planned Value (PV) Schedule Variance (SV) = BCWP ? BCWS.
Steps for calculating the variance by hand Step 1: Find the mean. Step 2: Find each score's deviation from the mean. Step 3: Square each deviation from the mean. Step 4: Find the sum of squares. Step 5: Divide the sum of squares by n ? 1 or N.
Variance = [(Actual / Forecast) ? 1] X 100 In this formula, divide what you actually spent or used by what you predicted. Then, subtract 1 and multiply the total by 100 to turn it into a percentage.