Data analysis and interpretation is an important step in research process. The data should be subjected to
statistical tests of significance to determine with what validity data can be said to indicate any conclusion.
Clearly the science of statistics cannot be ignored by any researcher, even though he may not have occasion to
use statistical methods in all their details and ramification.
The important statistical measures that are used to summarize the survey/research data are measures of
central tendency, dispersion, asymmetry, co-efficient of correlation, regression, index number etc.