What is the difference between correlations and experiments?

A correlation determines whether there is a relationship between two or more variables. These are co-variables. Therefore, a correlation is used to see whether these co-variables are predictive of each other. In comparison, an experiment is a highly controlled situation, that demonstrates a cause and effect relationship. All relevant variables are held constant, apart from the independent variable (IV). This is the variable being manipulated. The aim is to investigate whether the manipulation of the IV causes the dependent variable (DV) to alter. The DV is the variable being measured. The high levels of control allow the experimenter to conclude that the changes in the IV causes the change in the DV. 

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