What is the sum of the differences between the mean and the gross income multipliers?

To determine the correct answer, it is essential to know how to calculate the differences between the mean and the gross income multipliers and how to sum those differences.

In many statistical analyses, the mean provides a measure of central tendency for a set of values, while gross income multipliers might represent scaling factors that influence those values. The differences between the mean and each gross income multiplier would be calculated by subtracting the mean from each multiplier. This process yields a set of difference values.

Once these differences are acquired, the next step is to sum them up. The sum of these differences gives insight into the overall relationship between the mean and the multipliers, indicating how over or under the multipliers are in relation to the mean.

When calculating, it's crucial to take care with signs (positive or negative) depending on whether the multipliers are above or below the mean. Depending on the context and values given (which are not specified here), after performing the calculations accurately, the sum arising from those differences leads us to conclude that the total is indeed 3.2.

Thus, arriving at the conclusion that the sum of the differences between the mean and the gross income multipliers is appropriate, as validated by the calculations relevant to the problem context.