Consider a data set containing the following values: 90 98 77 84 95 100 94 90 The mean of the given values is 91. The squares of the scores have been calculated as follows: 8,100 9,604 5,929 7,056 9,025 10,000 8,836 8,100 If the preceding scores are sample data, the sum of squares (SS) is (Hint: Remember that the phrase "sum 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 v and the sample variance is If the preceding scores are population data, the population standard deviation is v and the population variance is
Consider a data set containing the following values: 90 98 77 84 95 100 94 90 The mean of the given values is 91. The squares of the scores have been calculated as follows: 8,100 9,604 5,929 7,056 9,025 10,000 8,836 8,100 If the preceding scores are sample data, the sum of squares (SS) is (Hint: Remember that the phrase "sum 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 v and the sample variance is If the preceding scores are population data, the population standard deviation is v and the population variance is
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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
Transcribed Image Text:Consider a data set containing the following values:
90
98
77
84
95
100
94
90
The mean of the given values is 91. The squares of the scores have been calculated as follows:
8,100
9,604
5,929
7,056
9,025
10,000
8,836
8,100
If the preceding scores are sample data, the sum of squares (SS) is
v . (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
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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