The answer is "A. inferential ".
Inferential statistics to try to infer from the sample data what the population might think.
With inferential statistics, you are attempting to achieve conclusions that stretch out past the quick information alone. For example, we utilize inferential statistics to attempt to construe from the example information what the populace may think. Or on the other hand, we utilize inferential statistics to make judgments of the likelihood that a watched distinction between bunches is a reliable one or one that may have occurred by chance in this investigation. In this manner, we utilize inferential statistics to make derivations from our information to more broad conditions; we utilize elucidating insights basically to portray what's happening in our information.