Using it's formula, the sum of the squared deviations of the data-set is of SS = 7661.2.
<h3>What are the mean and the sum of the squared deviations of a data-set?</h3>
- The mean of a data-set is given by the <u>sum of all values in the data-set, divided by the number of values</u>.
- The sum of the squared deviations of a data-set is given by the <u>sum of the differences squared between each observation and the mean</u>.
For this problem, the data-set containing 5 observations is:
325, 355, 392, 410, 435
Hence the mean, applying it's concept, is given by:
M = (325 + 355 + 392 + 410 + 435)/5 = 383.4.
Hence the sum of the squared deviations, also applying it's concept, is found as follows:
SS = (325 - 383.4)² + (355 - 383.4)² + (392 - 383.4)² + (410 - 383.4)² + (435 - 383.4)²
SS = 7661.2.
More can be learned about the sum of the squared deviations of a data-set at brainly.com/question/3511430
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