Investigating strength of relationship

AI Thread Summary
The discussion centers on a project investigating the relationship between Math and Physics using statistical tests. A chi-squared test indicated independence between the two subjects, while a product moment correlation coefficient (PMCC) of 0.69 suggested a strong positive relationship. This contradiction raises questions about the validity of the results. The poster is seeking insights into how both tests can yield conflicting outcomes and is open to sharing data for further analysis. The situation highlights the complexities of interpreting statistical results in educational research.
Boogeyman
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I was assigned a project in Applied Math and I chose to investigate the strength of the relationship between Math and Physics. My scope of tests is still limited, so I decided to first do a chi squared test (to show independence) and then determine the product moment correlation coefficient. Problem is the chi squared suggested independence, but my pmcc turned out to be 0.69. So I checked these two conflicting tests and my teacher did them but we haven't come up with anything else.

Is there any way this could be possible. If anyone wants to see my data (it's really not much) I will gladly upload it.
 
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By the way the correlation coefficient gives the relationship between the two...it ranges from -1 to 1. So imo 0.69 is pretty strong positive relationship. But this contradicts the independence suggested by the chi squared..
 
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