Measures of Dispersion for Ungrouped Data
Enter raw numerical data. This tool computes the range, variance, and standard deviation for an ungrouped data set, treating the values either as a sample or as a population.
Statistics • Numerical Descriptive Measures
Enter raw numerical data. This tool computes the range, variance, and standard deviation for an ungrouped data set, treating the values either as a sample or as a population.
It computes the range, variance, and standard deviation for an ungrouped (raw) numerical data set. You can also view a deviation table and a step-by-step explanation of the calculations.
Population variance divides by N, the number of population values. Sample variance divides by n - 1 to correct for bias when estimating population variance from a sample.
Range is computed as largest value - smallest value. It is simple but very sensitive to outliers because it depends only on the extremes.
Standard deviation is the positive square root of variance. Variance is measured in squared units, while standard deviation is in the same units as the original data.
Variance uses squared deviations from the mean, so large deviations receive much more weight than small ones. Outliers therefore increase the variance and standard deviation substantially.