Consider a data set containing the following values: 82 94 93 102 90 SB 96 99 The mean of the given values is 93. The squares of the scores have been calculated as follows: 6,724 8,836 8,649 10,404 8,100 7,744 9,216 9,801 If the preceding scores are sample data, the sum of squares (SS) is V . (Hint: Remember that the phrase \"sum of squares\" or SS refers to the sum of squared deviations.) If the preceding scores are population data, the SS is V . If the preceding scores are sample data, the sample standard deviation is 'V and the sample variance is V . If the preceding scores are population data, the population standard deviation is V and the population variance is Y