6. Calculating standard deviation and variance using the computational formula
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 ____.
