Consider a data set containing the following values: 67 94 82 80 97 99 78 91 The mean of the given values is 86. The squares of the scores have been calculated as follows: 4,489 8,836 6,724 6,400 9,409 9,801 6,084 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: 67 94 82 80 97 99 78 91 The mean of the given values is 86. The squares of the scores have been calculated as follows: 4,489 8,836 6,724 6,400 9,409 9,801 6,084 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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Question
Consider a data set containing the following values:
| 67 | 94 | 82 | 80 | 97 | 99 | 78 | 91 |
The mean of the given values is 86. The squares of the scores have been calculated as follows:
| 4,489 | 8,836 | 6,724 | 6,400 | 9,409 | 9,801 | 6,084 | 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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