Question

A study revealed a strong, linear, negative association between a decrease in salary and amount spent on clothes. Another study revealed a strong, linear, negative association between decrease in salary and amount spent on food. When the data were combined, the association became positive. What is this an example of?
A. simpson's paradox
B.observational study
C.experimental study
D.cause-and effect realtionship
E.error by the statistician

Answer 1

Simpson's Paradox. There is a Youtube video on it by minutephysics you can watch. I highly encourage it. 

Hope this helps!

Answer 2

Answer:

A. simpson's paradox

Step-by-step explanation:

The correct answer is Simpson's paradox.

It happens when in separate trials, a relation is found. However, when these trials are combined, the relation changes.

In this problem, we have negative association between a decrease in salary and amount spent on clothes and a negative association between decrease in salary and amount spent on food. However, when the data is combined, the association becomes positive, that is, changes.