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

9,216

9,801

If the preceding scores are sample data, the sum of squares (SS) is . (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 .

If the preceding scores are sample data, the sample standard deviation is and the sample variance is .

If the preceding scores are population data, the population standard deviation is and the population variance is .