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The mean absolute deviation is the average of the absolute deviations from the mean of the data set.
First, we need to find the mean of the data set:
(4.8 + 5.9 + 6.2 + 10.8 + 1.2 + 6.4) / 6 = 5.55
Next, we find the absolute deviations for 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, we find the mean of these absolute deviations:
(0.75 + 0.35 + 0.65 + 5.25 + 4.35 + 0.85) / 6 ≈ 2.15
Therefore, the mean absolute deviation of the data set is approximately 2.2.