Answer:
The correct answer is letter "E": confusing correlation with causation.
Explanation:
Correlation refers to how two variables can be linked because of certain factors that could have influenced both of them to happen together. Causation is the correlation by which two variables are linked because one of them provoked the other. Not every correlation is causation.
In the example, there is a correlation between women entering the workforce and the increase if skin cancer found between 1980 and 2010. After that, the speaker concludes that women entering the labor force causes cancer. That conclusion given as causation is setting aside a vast number of reasons why cancer has been proven to be caused that vary from genetics to certain substances abuse such as tobacco. Therefore, the speaker is confusing correlation with causat