The mean (\(\mu\)) of a dataset is calculated using the formula:
\[
\mu = \frac{\sum_{i=1}^N x_i}{N}
\]
For the given roller coaster heights, the sum of the data is \(\sum_{i=1}^{14} x_i = 1387\) and the number of data points \(N = 14\). Thus, the mean is:
\[
\mu = \frac{1387}{14} = 99.1
\]
The median is the middle value of a dataset when it is ordered. If the dataset has an even number of observations, the median is the average of the two middle numbers. First, we sort the data:
Sorted data: \([50, 50, 56, 58, 58, 73, 95, 127, 127, 128, 130, 131, 152, 152]\)
The formula for the rank of the median in a dataset is:
\[
\text{Rank} = Q \times (N + 1) = 0.5 \times (14 + 1) = 7.5
\]
Since the rank is not an integer, we use interpolation between the 7th and 8th values in the sorted list:
\[
Q = X_{\text{lower}} + w \times (X_{\text{upper}} - X_{\text{lower}})
\]
Where \(X_{\text{lower}} = 95\), \(X_{\text{upper}} = 127\), and \(w = 0.5\):
\[
Q = 95 + 0.5 \times (127 - 95) = 111.0
\]
The midrange is the average of the maximum and minimum values in the dataset:
\[
\text{Midrange} = \frac{\text{max} + \text{min}}{2}
\]
For the given data, \(\text{max} = 152\) and \(\text{min} = 50\):
\[
\text{Midrange} = \frac{152 + 50}{2} = 101.0
\]
- Mean: \(\boxed{99.1}\)
- Median: \(\boxed{111.0}\)
- Midrange: \(\boxed{101.0}\)