A statistical measure called correlation illustrates how much two or more variables move or vary together. Both positive and negative correlations are possible for this movement.A positive correlation shows how much two variables change simultaneously, whereas a negative correlation shows how much one variable rises as the other falls.One situation where I might use correlation in real life is if there is a connection between how much TV I watch and my academic performance. This is due to the fact that, all other things being equal, my scores rise as the amount of time I spend watching TV reduces since I will have more time to study for the examinations. When accepting a correlation coefficient, the t-test is required since it will show if the result is likely attributable to normal variation or whether it is within the range of variation you would anticipate given the standard deviation.

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