Using Basic Statistics

The set of basic statistics includes measures of central tendencies, measures of dispersion, and the other descriptive statistics, as shown in the following table:

Equation Statistic Alternate Equation Forms
gv_7bf6_sqsy7f05

The mean is the arithmetic mean (average) of a sample.

gv_7bf5_sqsy7f03

See References.

gv_7bf4_sqsy7f01

The standard deviation is the root-mean-square of a sample.

gv_7bf3_sqsy7eff

See References.

gv_7bf2_sqsy7efd

The observation is the total number of values in a sample.

None

gv_7bf1_sqsy7efb

The summation is the total of all the values in a sample.

None

gv_7bf0_sqsy7ef9

The minimum is the smallest value in the sample.

None 

gv_7bef_sqsy7ef7

The maximum is the largest value in the sample.

None

gv_7bee_sqsy7ef5

The range is the largest value minus the smallest value in the sample.

None

gv_7bed_sqsy7ef3

The variance is the square of the standard deviation.

gv_7bec_sqsy7ef1

See References.

gv_7beb_sqsy7eef

The standard error of the mean is the standard deviation of the mean. It measures the extent to which a sample mean can be expected to vary.

gv_7bea_sqsy7eed

See References.

gv_7be9_sqsy7eeb

The coefficient of variation is the standard deviation of a sample expressed as a percentage of the mean. It is a measure of relative dispersion.

See References.

gv_7be8_sqsy7ee9

The lower Z-score is the number of standard deviations that the lower specification limit (LSL) is from the mean.

None

gv_7be7_sqsy7ee7

The upper Z-score is the number of standard deviations that the upper specification limit (USL) is from the mean.

None

Lwr 3 sigma = deviate at probability 0.00135

The lower 3 sigma represents three standard deviations from left of the mean.

None

Upr 3 sigma = deviate at probability 0.99865

The upper 3 sigma represents three standard deviations from right of the mean.

None