To find the mean absolute deviation, we first need to find the mean of the dataset.
Mean = (8.4 + 9.4 + 14.2 + 5.6 + 8.3 + 9.0 + 10.2) / 7 = 9.8
Next, we find the absolute deviation of each data point from the mean:
|8.4 - 9.8| = 1.4
|9.4 - 9.8| = 0.4
|14.2 - 9.8| = 4.4
|5.6 - 9.8| = 4.2
|8.3 - 9.8| = 1.5
|9.0 - 9.8| = 0.8
|10.2 - 9.8| = 0.4
Now we find the mean of these absolute deviations:
Mean Absolute Deviation = (1.4 + 0.4 + 4.4 + 4.2 + 1.5 + 0.8 + 0.4) / 7 ≈ 2.4
Rounded to the nearest tenth, the mean absolute deviation is 2.4. The closest response is 1.7.