The mean absolute deviation (MAD) measures the average distance of each data point from the mean of the dataset. A smaller MAD indicates that the data points are closer to the mean, meaning the dataset is less spread out.
Given that the mean absolute deviation of Dataset #1 is 5.6 and the mean absolute deviation of Dataset #2 is 11.8, Dataset #1 is less spread out because it has the smaller MAD.