break down intructions adhd understanable, Before starting, PLEASE see the four lecture videos in Core Concept Modules #2, regarding variability and the correlation coefficient. An additional video that is purely about the computation of covariance and correlation can be at this link: https://www.youtube.com/watch?v=0XKIDqB4WugLinks to an external site. . This presenter's video will make much more sense IF YOU watch my lectures first. . There are several other expressions of the correlation formula that are conceptually USELESS and have no utility in helping understand what is going on in the formula - although they produce the same numerical result. . The two you should master are the cross product formula and the Z-score formula. The cross-product formula uses (X - Average of X) * (Y- Average of Y) in the numerator. The cross-product formula is the one we are using in this project step (Step 2). The Z-score formula (WHICH WE ARE NOT USING IN THIS STEP - WE USE IT IN STEP 3) sequences things a bit differently, and involves computing Z-scores for all the X and Y raw response values that we see in our class data. The reason we are using those two formulas is that they can be understood both rationally and graphically. They are not hard to make sense of, despite how it appears at first. . SPECIFIC INSTRUCTIONS: PART 1: CHOOSING YOUR FOUR PAIRS OF DATA (Each correlation is a pair of columns of responses, where each row is ONE PERSON'S response to two questions or measuremen