# SPSS Statistics

The variance measures how far each number in the set is from the mean

I have 151190 records of a table. and i have to analyze the data on SPSS. after the analysis i have some results. Mean=74617.92 with standard error=871.744, Median=94118, variance= 1393725134, Standard Deviation= 37332.628, Minimum= 1353, Maximum= 95085, Skewness= -.007, Kurtosis= -1.31. I cannot understand the relation why there is a huge gape between mean and variance.

• The variance is in squared units, which sometimes makes variances very large (or very small) numerically. However, you can have data with a small mean and a large standard deviation. Standard deviation is a measure of dispersion that has the same units as the mean. // Example: Maybe stock values are the same now as several months ago, but they have fluctuated widely + and - from day to day over the same period. // When I took a sample of size 100,000 from NORM($\mu$=0,$\sigma$=100) then I got sample mean $\bar X = -0.061,$ SD $S = 99.78$ and variance $S^2 = 9955.29.$ I guess all is OK. Oct 22, 2018 at 7:14