The stem-and-leaf display is given as:
\[
\begin{tabular}{rl}
9 & \multicolumn{3}{|l}{} \\
10 & 13469 \\
11 & 12344589 \\
12 & 014468 \\
13 & 278
\end{tabular}
\]
To convert this into an ordered array, we interpret each stem and its corresponding leaves. For example:
- Stem 9 has no leaves, so it is ignored.
- Stem 10 with leaves 1, 3, 4, 6, 9 corresponds to 10.1, 10.3, 10.4, 10.6, 10.9.
- Stem 11 with leaves 1, 2, 3, 4, 4, 5, 8, 9 corresponds to 11.1, 11.2, 11.3, 11.4, 11.4, 11.5, 11.8, 11.9.
- Stem 12 with leaves 0, 1, 4, 4, 6, 8 corresponds to 12.0, 12.1, 12.4, 12.4, 12.6, 12.8.
- Stem 13 with leaves 2, 7, 8 corresponds to 13.2, 13.7, 13.8.
The ordered array is:
\[
9.5, 10.1, 10.3, 10.4, 10.6, 10.9, 11.1, 11.2, 11.3, 11.4, 11.4, 11.5, 11.8, 11.9, 12.0, 12.1, 12.4, 12.4, 12.6, 12.8, 13.2, 13.7, 13.8
\]
This matches option A.
The stem-and-leaf display provides a visual representation of the data distribution, showing the frequency of values within each stem. It also retains the original data values, making it easier to identify patterns, clusters, or outliers.
The ordered array lists all the data points in ascending order, which is useful for identifying the minimum, maximum, and range of the data. However, it does not provide a visual representation of the distribution.
The stem-and-leaf display provides more information because it combines the benefits of both a visual representation and the retention of raw data.
The most likely amount of gasoline purchased corresponds to the mode of the data, which is the value that appears most frequently. From the ordered array:
\[
11.4 \text{ appears twice}, \text{ while all other values appear once.}
\]
Thus, the most likely amount of gasoline purchased is:
\[
11.4 \text{ gallons.}
\]
a. The correct answer is A.
b. The stem-and-leaf display provides more information.
c. \( \boxed{11} \) gallons.