The initial delivery times for the pizzas are \(20\), \(28\), \(35\), \(40\), and \(25\) minutes. The mean \( \mu \) is calculated as follows:
\[
\mu = \frac{\sum_{i=1}^N x_i}{N} = \frac{20 + 28 + 35 + 40 + 25}{5} = \frac{148}{5} = 29.6
\]
Thus, the initial mean is \(29.6\).
To find the median, we first sort the delivery times: \([20, 25, 28, 35, 40]\). The formula for the rank of the median \(Q\) is given by:
\[
\text{Rank} = Q \times (N + 1) = 0.5 \times (5 + 1) = 3.0
\]
The median corresponds to the value at position \(3\), which is \(28\). Therefore, the initial median is \(28\).
When Ryan orders a sixth pizza that takes \(95\) minutes, the updated delivery times become \(20\), \(28\), \(35\), \(40\), \(25\), and \(95\). The updated mean \( \mu \) is calculated as follows:
\[
\mu = \frac{\sum_{i=1}^N x_i}{N} = \frac{20 + 28 + 35 + 40 + 25 + 95}{6} = \frac{243}{6} = 40.5
\]
Thus, the updated mean is \(40.5\).
The sorted updated delivery times are \([20, 25, 28, 35, 40, 95]\). The formula for the rank of the median \(Q\) is:
\[
\text{Rank} = Q \times (N + 1) = 0.5 \times (6 + 1) = 3.5
\]
Since \(3.5\) is not an integer, we average the values at positions \(3\) and \(4\):
\[
Q = \frac{X_{\text{lower}} + X_{\text{upper}}}{2} = \frac{28 + 35}{2} = 31.5
\]
Thus, the updated median is \(31.5\).
- Initial Mean: \(29.6\), Updated Mean: \(40.5\)
- Initial Median: \(28\), Updated Median: \(31.5\)
Both the mean and the median have changed significantly. The mean increased from \(29.6\) to \(40.5\), while the median increased from \(28\) to \(31.5\). This indicates that the new data point has affected both measures of center.
The correct interpretation is that it will make both the mean and the median less useful measures of center.
\(\boxed{c.)}\)