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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

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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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
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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