I am new to statistics and trying to analyse my quantitative data. I am referring to "https://stats.idre.ucla.edu/other/mult-pkg/whatstat/" and "Laerd statistics" for the choice of statistical tests. The previous source suggests tests ranging from chi-square to multiple linear regression based on the number and nature of variables. Whereas the latter source has a clear distinction between "tests for group differences" and "tests for association and prediction".

I am confused if I have to phrase my question, looking for group difference or association according to the number and nature of my variables, for example- "Is there a difference between males and females based on their physical fitness?" OR "Is there an association between gender and physical fitness?"

In other words, Can I only test either a group difference or association for a given set of variables? Or I can test both?

Looking forward to your inputs.

Please let me know if my question is not clear.

Regards,

Noopur

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