If the preceding scores are sample data, the sum of squares (SS) is 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 If the preceding scores are population data, the population standard deviation is (Hint: Remember that the phrase "sum of squares" or SS refers to and the sample variance is and the population variance is
If the preceding scores are sample data, the sum of squares (SS) is 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 If the preceding scores are population data, the population standard deviation is (Hint: Remember that the phrase "sum of squares" or SS refers to and the sample variance is and the population variance is
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Transcribed Image Text: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
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
If the preceding scores are population data, the population standard deviation is
(Hint: Remember that the phrase "sum of squares" or SS refers to
and the sample variance is
and the population variance is
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