The mean cost of repair is calculated using the formula:
\[
\mu = \frac{\sum_{i=1}^N x_i}{N}
\]
where \( N \) is the number of data points and \( x_i \) are the individual costs. For our data:
\[
\mu = \frac{438 + 420 + 460 + 220}{4} = \frac{1538}{4} = 384.5
\]
Thus, the mean cost of repair is \( 384.5 \).
To find the median, we first sort the data:
\[
\text{Sorted data} = [220, 420, 438, 460]
\]
The formula for the rank of the median \( Q \) is given by:
\[
\text{Rank} = Q \times (N + 1) = 0.5 \times (4 + 1) = 2.5
\]
Since the rank is not an integer, we take the average of the values at ranks 2 and 3:
\[
Q = \frac{X_{\text{lower}} + X_{\text{upper}}}{2} = \frac{420 + 438}{2} = 429.0
\]
Thus, the median cost of repair is \( 429.0 \).
The mode is the value that appears most frequently in the dataset. In this case, all values are unique, so we list all the costs:
\[
\text{Mode} = [438, 420, 460, 220]
\]
Since there is no single mode, we can state that all values are modes.
- Mean cost of repair: \( \boxed{384.5} \)
- Median cost of repair: \( \boxed{429.0} \)
- Mode cost of repair: \( \boxed{[438, 420, 460, 220]} \)