Contents > 6 Design Measurement > 6.3 Data Analysis Techniques > 6.3.1 Descriptive Statistics

### 6.3.1 Descriptive Statistics

Descriptive statistics characterize the distribution of values for a
design metric in terms of its mean and median value, interquartile
ranges, and variance (or standard deviation).
The range and distribution of a metric determines the applicability of
subsequent analysis techniques. Low variance metrics do not
differentiate design elements very well and therefore are not likely
to be useful predictors. Descriptive statistics allow us to determine
if the data collected from two or more projects are comparable, stem
from similar populations. If not, this information will likely be
helpful to explain different findings across projects.

SDMetrics calculates and displays descriptive statistics
for design metrics, see Section 4.5 "The View 'Histograms'"
and Section 4.8 "The View 'Descriptive Statistics'".

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Section 6.3 "Data Analysis Techniques" | Contents | Section 6.3.2 "Dimensional Analysis" |