A correlation exists when there appears to be a dependent relationship between two variables. That is to say, two variables (or ‘things’) appear to change at the same time. This would therefore appear to suggest (but crucially does necessarily prove) a link between the two variables. For example, a sociologist may identify that girls perform better in a single sex education setting. We can therefore say that there is a correlation between single sex education and girls’ exam performance. However, further investigation would be needed to prove that there exists a causal
Using an example taken from WebMD, this Khan Academy video (10 minutes long) explains the difference between correlation and causality by examining an article that looks at breakfast eating habits and obesity:
Discover More Understanding why correlation does not imply causality
From this, students could find other examples of studies (perhaps referred to in the health sections of newspapers) and identity whether the author seems to be suggesting that causality exists, when it is in fact merely correlation.
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