The use of statistics to report astronomical data analysis results<br />
is more popular than ever. Such high volume of demands<br />
and not enough time to comprehend has sometimes driven the misuse<br />
of statistics. Occasionally observed is that a statistic with rigid<br />
conditions are applied to any data in hand as if the panacea of<br />
data analysis. In this talk, we will review common classical<br />
statistics like p-value, correlation,<br />
the likelihood ration test (LRT), and the F-test.<br />
The statistical backgrounds and breakdowns of these statistics<br />
juxtapose with their usage in astronomy.