Consider a data set containing the following values: 82 94 93 102 90 88 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 If the preceding scores are sample data, the sum of squares (SS) is "sum of squares" or SS refers to the sum of squared deviations.) If the preceding scores are population data, the SS is If the preceding scores are sample data, the sample standard deviation is 9,216 9,801 If the preceding scores are population data, the population standard deviation is variance is . (Hint: Remember that the phrase and the sample variance is and the population