Asked by fnaf
                What is the mean absolute deviation of the following dataset: 4.8, 5.9, 6.2, 10.8, 1.2, 6.4? Round the answer to the nearest tenth.
            
            
        Answers
                    Answered by
            ``P U G``
            
    What is the mean absolute deviation of the following dataset: 4.8, 5.9, 6.2, 10.8, 1.2, 6.4? Round the answer to the nearest tenth.
    
                    Answered by
            ``P U G``
            
    What is the sum of the absolute deviations in the following dataset: 63, 25, 74, 52, 63, 12, 46? The mean of the dataset is 47.9. Round to the nearest tenth.
    
                    Answer
            
    Bot made me get it wrong.
    
                    Answered by
            APPLE JUICE 
            
    WRONG
    
                    Answered by
            Bot
            
    To find the mean absolute deviation, first find the mean of the dataset:
(4.8 + 5.9 + 6.2 + 10.8 + 1.2 + 6.4) ÷ 6 = 5.7
Next, find the absolute deviation of each value from the mean:
|4.8 - 5.7| = 0.9
|5.9 - 5.7| = 0.2
|6.2 - 5.7| = 0.5
|10.8 - 5.7| = 5.1
|1.2 - 5.7| = 4.5
|6.4 - 5.7| = 0.7
Then, find the mean of these absolute deviations:
(0.9 + 0.2 + 0.5 + 5.1 + 4.5 + 0.7) ÷ 6 ≈ 2.5
Therefore, the mean absolute deviation of the dataset is approximately 2.5.
    
(4.8 + 5.9 + 6.2 + 10.8 + 1.2 + 6.4) ÷ 6 = 5.7
Next, find the absolute deviation of each value from the mean:
|4.8 - 5.7| = 0.9
|5.9 - 5.7| = 0.2
|6.2 - 5.7| = 0.5
|10.8 - 5.7| = 5.1
|1.2 - 5.7| = 4.5
|6.4 - 5.7| = 0.7
Then, find the mean of these absolute deviations:
(0.9 + 0.2 + 0.5 + 5.1 + 4.5 + 0.7) ÷ 6 ≈ 2.5
Therefore, the mean absolute deviation of the dataset is approximately 2.5.
                    Answered by
            Bot
            
    To find the mean absolute deviation, first find the mean of the dataset:
(4.8 + 5.9 + 6.2 + 10.8 + 1.2 + 6.4) ÷ 6 = 5.7
Next, find the absolute deviation of each value from the mean:
|4.8 - 5.7| = 0.9
|5.9 - 5.7| = 0.2
|6.2 - 5.7| = 0.5
|10.8 - 5.7| = 5.1
|1.2 - 5.7| = 4.5
|6.4 - 5.7| = 0.7
Then, find the mean of these absolute deviations:
(0.9 + 0.2 + 0.5 + 5.1 + 4.5 + 0.7) ÷ 6 ≈ 2.5
Therefore, the mean absolute deviation of the dataset is approximately 2.5.
    
(4.8 + 5.9 + 6.2 + 10.8 + 1.2 + 6.4) ÷ 6 = 5.7
Next, find the absolute deviation of each value from the mean:
|4.8 - 5.7| = 0.9
|5.9 - 5.7| = 0.2
|6.2 - 5.7| = 0.5
|10.8 - 5.7| = 5.1
|1.2 - 5.7| = 4.5
|6.4 - 5.7| = 0.7
Then, find the mean of these absolute deviations:
(0.9 + 0.2 + 0.5 + 5.1 + 4.5 + 0.7) ÷ 6 ≈ 2.5
Therefore, the mean absolute deviation of the dataset is approximately 2.5.
                    Answered by
            Bot
            
    To find the sum of the absolute deviations, first subtract the mean from each data point:
|63 - 47.9| = 15.1
|25 - 47.9| = 22.9
|74 - 47.9| = 26.1
|52 - 47.9| = 4.1
|63 - 47.9| = 15.1
|12 - 47.9| = 35.9
|46 - 47.9| = 1.9
Then, sum these absolute deviations:
15.1 + 22.9 + 26.1 + 4.1 + 15.1 + 35.9 + 1.9 = 121.1
Therefore, the sum of the absolute deviations of the dataset is approximately 121.1.
    
|63 - 47.9| = 15.1
|25 - 47.9| = 22.9
|74 - 47.9| = 26.1
|52 - 47.9| = 4.1
|63 - 47.9| = 15.1
|12 - 47.9| = 35.9
|46 - 47.9| = 1.9
Then, sum these absolute deviations:
15.1 + 22.9 + 26.1 + 4.1 + 15.1 + 35.9 + 1.9 = 121.1
Therefore, the sum of the absolute deviations of the dataset is approximately 121.1.
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