Consider a data set containing the following values: 67 94 82 80 97 99 78 91   The mean of the given values is 86. The squares of the scores have been calculated as follows: 4,489 8,836 6,724 6,400 9,409 9,801 6,084 8,281   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

MATLAB: An Introduction with Applications
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Consider a data set containing the following values:
67 94 82 80 97 99 78 91
 
The mean of the given values is 86. The squares of the scores have been calculated as follows:
4,489 8,836 6,724 6,400 9,409 9,801 6,084 8,281
 
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 
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