The mean absolute deviation is calculated by finding the absolute difference between each data point and the mean of the dataset, then finding the mean of those absolute differences.
First, find the mean of the dataset:
(4.8 + 5.9 + 6.2 + 10.8 + 1.2 + 6.4) / 6 = 35.3 / 6 = 5.883333... ≈ 5.9
Next, find the absolute differences between each data point and the mean:
|4.8 - 5.9| = 1.1
|5.9 - 5.9| = 0
|6.2 - 5.9| = 0.3
|10.8 - 5.9| = 4.9
|1.2 - 5.9| = 4.7
|6.4 - 5.9| = 0.5
Then, find the mean of these absolute differences:
(1.1 + 0 + 0.3 + 4.9 + 4.7 + 0.5) / 6 = 11.5 / 6 = 1.916666... ≈ 1.9
Therefore, the mean absolute deviation of the dataset is 1.9 (rounded to the nearest tenth).