To find the mean salary \( \mu \), we use the formula:
\[
\mu = \frac{\sum_{i=1}^N x_i}{N}
\]
where \( N \) is the number of salaries and \( x_i \) represents each individual salary. For the given data, we have:
\[
\mu = \frac{1444491}{16} = 90280.7
\]
Thus, the mean salary is \( 90280.7 \) dollars.
To find the median salary, we first sort the data:
\[
\text{Sorted data} = [52718, 57380, 58456, 64553, 65270, 66346, 73877, 74235, 75311, 76029, 90090, 98837, 100702, 108448, 109739, 272500]
\]
Since there are \( N = 16 \) salaries (an even number), the median \( Q \) is calculated using the formula:
\[
\text{Rank} = Q \times (N + 1) = 0.5 \times (16 + 1) = 8.5
\]
This indicates that the median is the average of the 8th and 9th values in the sorted list:
\[
Q = \frac{X_{\text{lower}} + X_{\text{upper}}}{2} = \frac{74235 + 75311}{2} = 74773.0
\]
Thus, the median salary is \( 74773.0 \) dollars.
The range of the salaries is calculated as the difference between the maximum and minimum salaries:
\[
\text{Range} = \max(salaries) - \min(salaries) = 272500 - 52718 = 219782
\]
Thus, the range of the salaries is \( 219782 \) dollars.
Mean: \( \boxed{90280.7} \) dollars
Median: \( \boxed{74773.0} \) dollars
Range: \( \boxed{219782} \) dollars