The arithmetic mean is the most appropriate measure of central tendency because it incorporates all data points, including the outliers.

The median is a more robust measure of central tendency than the mean for this dataset because it is not affected by the magnitude of extreme outliers.

The arithmetic mean will be substantially larger than the median, resulting in a right-skewed distribution relationship where $\text{Mean} > \text{Median}$.

The mode is the most appropriate measure because it represents the center of the distribution of income.