(a) To list the items in the data set in numerical order, we need to expand the frequency distribution table into a full list of data points. Each value \( x \) should be repeated according to its frequency \( f \).
(b) The mode of the data set is the value that appears most frequently. We can determine this by identifying the value with the highest frequency in the frequency distribution.
(c) The mode of any frequency distribution can be identified by finding the value in the data column that corresponds to the highest frequency in the frequency column.
From the given frequency distribution:
\[
\begin{array}{|c|c|}
\hline
x & f \\
\hline
10 & 2 \\
14 & 5 \\
15 & 6 \\
20 & 5 \\
25 & 2 \\
\hline
\end{array}
\]
We expand this into a complete data set by repeating each value \( x \) according to its frequency \( f \):
\[
\text{Data set} = \{10, 10, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 20, 20, 20, 20, 20, 25, 25\}
\]
The data set in numerical order is:
\[
\text{Sorted Data Set} = \{10, 10, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 20, 20, 20, 20, 20, 25, 25\}
\]
The mode is the value that appears most frequently in the data set. From the frequency distribution, we see that:
\[
\text{Mode} = 15 \quad (\text{appears } 6 \text{ times})
\]
The mode can be identified as the value in the data column corresponding to the highest value in the frequency column. Thus, the method to identify the mode is:
\[
\text{Mode Identification Method} = \text{The value in the data column corresponding to the highest value in the frequency column}
\]
- The data set in numerical order is: \(\{10, 10, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 20, 20, 20, 20, 20, 25, 25\}\)
- The mode of the data set is: \(\boxed{15}\)
- The mode identification method is: \(\text{The value in the data column corresponding to the highest value in the frequency column}\)