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Consider a data set containing the following values: 93 83 85 95 97 90 86 91 The mean of the given values is 90. The squares of the scores have been calculated as follows: 8,649 6,889 7,225 9,025 9,409 8,100 7,396 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

Consider a data set containing the following values: 93 83 85 95 97 90 86 91 The mean of the given values is 90. The squares of the scores have been calculated as follows: 8,649 6,889 7,225 9,025 9,409 8,100 7,396 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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Consider a data set containing the following values: 93 83 85 95 97 90 86 91 The mean of the given values is 90. The squares of the scores have been calculated as follows: 8,649 6,889 7,225 9,025 9,409 8,100 7,396 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
Transcribed Image Text:Consider a data set containing the following values: 93 83 85 95 97 90 86 91 The mean of the given values is 90. The squares of the scores have been calculated as follows: 8,649 6,889 7,225 9,025 9,409 8,100 7,396 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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