Sarah described the following situation:

When one patient with a common cold takes a medicine and the other patient does not take any medicine, the person who takes medicine recovers faster than the person who does not take medicine.

Which of the following best describes the situation?

This is an example of correlation because one patient is sick and the other is not.

This is an example of causation because both patients need medicine.

This is an example of correlation because both patients are sick at the same time.

This is an example of causation because the patient that took the medication recovered quicker than the patient that did not.

Question

Sarah described the following situation:

When one patient with a common cold takes a medicine and the other patient does not take any medicine, the person who takes medicine recovers faster than the person who does not take medicine.

Which of the following best describes the situation?

This is an example of correlation because one patient is sick and the other is not.

This is an example of causation because both patients need medicine.
 
This is an example of correlation because both patients are sick at the same time.
 
This is an example of causation because the patient that took the medication recovered quicker than the patient that did not.

404 · Answer

Hiya There!!!   Correlation is a statistical approach that demonstrates the existence of a relationship between two variables without providing an explanation for the association.

For instance, there is a link between the selling of air conditioners and the sale of sunglasses.

Sunglasses sales are increasing in tandem with air conditioner sales.

Causation is a statistical approach for demonstrating the existence of a relationship between two variables. It underlines that any change in the value of one variable will influence the value of another variable to change.