To find the mean \( \mu \) of the river lengths, we use the formula:
\[
\mu = \frac{\sum_{i=1}^N x_i}{N}
\]
where \( N \) is the number of rivers and \( x_i \) are the lengths of the rivers. For our data:
\[
\mu = \frac{988}{15} = 65.9
\]
To find the median, we first sort the river lengths:
\[
\text{Sorted data: } [32, 32, 35, 40, 56, 56, 56, 64, 64, 68, 72, 76, 80, 80, 177]
\]
The formula for the rank of the median is:
\[
\text{Rank} = Q \times (N + 1) = 0.5 \times (15 + 1) = 8.0
\]
The quantile is at position 8, which corresponds to the value:
\[
\text{Median} = 64
\]
The range is calculated as the difference between the maximum and minimum river lengths:
\[
\text{Range} = \max(x) - \min(x) = 177 - 32 = 145
\]
To find the standard deviation, we first calculate the variance \( \sigma^2 \) using the formula:
\[
\sigma^2 = \frac{\sum (x_i - \mu)^2}{n-1}
\]
Substituting the values, we find:
\[
\sigma^2 = 1222.1
\]
Then, the standard deviation \( \sigma \) is:
\[
\sigma = \sqrt{1222.1} = 35.0
\]
Mean: \( \boxed{65.9} \) km
Median: \( \boxed{64} \) km
Range: \( \boxed{145} \) km
Standard Deviation: \( \boxed{35.0} \) km