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
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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