Question

NO HANDWRITTEN ANSWERS PLEASE

The most common abuse of correlation in studies is to confuse the concepts of correlation with those of causation.

Good SAT scores do not cause good college grades, for example. Rather, there are other variables, such as good study habits and motivation, that contribute to both. Find an example of an article that confuses correlation and causation.

Discuss other variables that could contribute to the relationship between the variables.

Answer 1

Answer:

correlation between two variables doesn't imply causation. Causation means that one variable effects the second or the other variable. IT may be true that one variable can affect the other variable like as example

1. When temperature will increase sales of ice cream and AC will increase.

2. When person have high marks in there matriculation, he/she will get a high income at the age of earning.

As the example given GOOD SAT scores do not cause good college grads, it is possible that both have a positive correlation but not for all time. The real thing is that they are not having a cause and effect relationship. There are many-2 causes for an event to occur from which that one may be the one.

Like one example is that Fat persons are prone to die earlier than thin or fit people. But empirical studies and research denies that thing. the other example is that high debt of a country cause low rate of growth as per studies. But the real thing is that low rate of growth prompts high debt of country.

The one other example is that children who sleep with light on have bad eye sight but it is premature relationship or may be there is some correlation bu there is no causation.

There are other variables like environment factors, weather factors, Time ( day/night/ evening), Place ( country Asian, European), age and other Physchological factors.

In the bad eye sight example there can be other factors like Hygiene factors at home or Hereditary etc.