Display Descriptive Statistics

Dispersion - Standard Error of the Mean (SE Mean)

  

The standard error of the mean (SE Mean) is not often used as a descriptive statistic, but it is important in hypothesis testing. It is an estimate of the dispersion that you would observe in the distribution of sample means, if you continued to take samples of the same size from the population.

The standard error of the mean is the standard deviation divided byimage\sqrt_n_cap.gif.

Example Output

Variable        N  N*   Mean  SE Mean  StDev  Minimum

Precipitation  11   1  3.636    0.717  2.378    1.000

 

Variable          Q1    Median     Q3   Maximum

Precipitation  2.000     3.000  4.000    10.000

Interpretation

For the precipitation data, the standard error of the mean is 0.717.