Let's examine the table and provide a detailed, step-by-step solution.
We have the following table with two rows:
[tex]\[
\begin{array}{|c|c|c|c|c|c|c|c|}
\hline
3 & 6 & 9 & 12 & 18 & 21 & 24 & 21 \\
\hline
1 & 2 & & & & & 8 & 10 \\
\hline
\end{array}
\][/tex]
Given these rows, we can identify the elements.
The first row is:
[tex]\[ 3, 6, 9, 12, 18, 21, 24, 21 \][/tex]
The second row is:
[tex]\[ 1, 2, None, None, None, None, 8, 10 \][/tex]
Here, "None" represents missing values. Therefore, the second row can be represented similarly:
[tex]\[ 1, 2, \text{missing}, \text{missing}, \text{missing}, \text{missing}, 8, 10 \][/tex]
To summarize:
1. The first row is a sequence of numbers: 3, 6, 9, 12, 18, 21, 24, 21.
2. The second row has a few given numbers and several missing entries: 1, 2, (missing), (missing), (missing), (missing), 8, 10.
With this setup, the original numerical result from the given data correctly represents what is provided in the table.
Thus, the complete numerical representation extracted is:
[tex]\[ ([3, 6, 9, 12, 18, 21, 24, 21], [1, 2, \text{None}, \text{None}, \text{None}, \text{None}, 8, 10]) \][/tex]
Step-by-step, we first identified the given values in both rows and then encapsulated missing entries as "None" to accurately portray the data matrix provided in the table.
