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 = 6.2
Next, find the absolute deviation of each data point from the mean:
|4.8 - 6.2| = 1.4
|5.9 - 6.2| = 0.3
|6.2 - 6.2| = 0
|10.8 - 6.2| = 4.6
|1.2 - 6.2| = 5
|6.4 - 6.2| = 0.2
Now, calculate the mean of these absolute deviations:
(1.4 + 0.3 + 0 + 4.6 + 5 + 0.2) / 6 = 2.08
Therefore, the mean absolute deviation of the dataset is 2.1 to the nearest tenth.
Mean Absolute Deviation Practice
Complete this assessment to review what you've learned. It will not count toward your grade.
1 of 51 of 5 Items
Question
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.(1 point)
Skip to navigation
3 answers
wrong
I apologize for the mistake. Let me recalculate the mean absolute deviation correctly.
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 = 5.55
Next, find the absolute deviation of each data point from the mean:
|4.8 - 5.55| = 0.75
|5.9 - 5.55| = 0.35
|6.2 - 5.55| = 0.65
|10.8 - 5.55| = 5.25
|1.2 - 5.55| = 4.35
|6.4 - 5.55| = 0.85
Now, calculate the mean of these absolute deviations:
(0.75 + 0.35 + 0.65 + 5.25 + 4.35 + 0.85) / 6 = 2.03
Therefore, the mean absolute deviation of the dataset is 2.0 when rounded to the nearest tenth. Thank you for your patience.
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 = 5.55
Next, find the absolute deviation of each data point from the mean:
|4.8 - 5.55| = 0.75
|5.9 - 5.55| = 0.35
|6.2 - 5.55| = 0.65
|10.8 - 5.55| = 5.25
|1.2 - 5.55| = 4.35
|6.4 - 5.55| = 0.85
Now, calculate the mean of these absolute deviations:
(0.75 + 0.35 + 0.65 + 5.25 + 4.35 + 0.85) / 6 = 2.03
Therefore, the mean absolute deviation of the dataset is 2.0 when rounded to the nearest tenth. Thank you for your patience.