➗ ម៉ាស៊ីន​គិតលេខ​វិល​ជុំ

អំពី​ម៉ាស៊ីន​គិតលេខ​នេះ

standard deviation is the average of the squared deviations from the mean and is the square of the standard deviation. This calculator gives the sample variance (sum of squared deviations divided by n − 1) or the population variance (divided by n), along with the standard deviation, mean, range and sum of squared deviations. Variance is expressed in squared units, which is why it is usually easier to interpret. Variance is always non-negative and gives extra weight to values that lie far from the mean. The standard deviation is the average of the squared deviations from the mean and is the square of the standard deviation. This calculator gives the sample variance (sum of squared deviations divided by n − 1) or the population variance (divided by n), along with the standard deviation, mean, range and sum of squared deviations. This calculator gives the average of the squared deviations from the mean and is the square of the standard deviation.To find it, take the mean, subtract it from every value, square each of those deviations, add them together and divide by n − 1 forasmall sample or by n forafull population.To find it, take the mean, subtract it from every value, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those deviations, square each of those devi