The mean is the only value about which the sum of squared deviations is a minimum. If you calculate the sum of squared deviations from any other measure of CentralTendancy, it will be larger |
The mean is the only value about which the sum of squared deviations is a minimum. If you calculate the sum of squared deviations from any other measure of CentralTendancy, it will be larger than for the mean. This explains why the StandardDeviation? and the mean are usually cited together in statistical reports. |