#8. Variance is an average of how far each score is from the mean (in units squared). You will need to find the Sum of Squares before finding the Variance. Using the table below, calculate the Sum of Squares (SS) using the Computational Formula. SS = X2 - Steps: Find the sum of x scores. ?x =__ Square the sum of scores (?x)2 = __ Square each score and add them. ?x2 = __ Divide the sum of each score by the number of scores. (?x)2/n = __ (rounded to four decimal places) x x2 4 42=16 5 52=25 6 62=36 8 82=64 6 62=36 7 72=49 8 82=64 9 92=81 9 92=81 x =__ x2= __ Subtract sum of each squared x score from the division of the sum of x scores by n. The Sum of Squares is SS = X2 - = (rounded to four decimal places) Use the SS from Question #8. Sum of Squares (SS) = ____ (rounded to four decimal places) Find the variance and the standard deviation using the Sum of Squares (SS)