Answer:
True
Step-by-step explanation:
Association between two factors does not necessarily implies causation. While causation implies that changes in one variable measured directly caused change in the other.An example would be research showing that jumping off a cliff directly causes great physical damage. In order to do this, researchers would need to assign people to jump off a cliff (versus, let's say, jumping off of a 12-inch ledge) and measure the amount of physical damage caused. When they find that jumping off the cliff causes more damage, they can assert causality. Association is just a relationship between two or more variables as cited in this question.