Let's organize and confirm the data presented in the table step-by-step. We need to extract the values for each year and for each category (P. 5, P. 6, P. 7, and P. 8).
First, let's define each column:
1. Year: The years provided are 2011, 2012, 2013, and 2014. Note that there is a typo in the table where "Yealr" should be "Year" and "2012" is repeated while "2014" is missing.
2. P. 5: The values provided for P. 5 are 81, 85, 88, and 91.
3. P. 6: The values provided for P. 6 are 75, 79, 82, and 85.
4. P. 7: The values provided for P. 7 are 61, 73, 76, and 79.
5. P. 8: The values provided for P. 8 are 57, 59, 90, and 73.
Let's assemble this information clearly:
[tex]\[
\begin{array}{|c|c|c|c|c|}
\hline
\text{Year} & \text{P. 5} & \text{P. 6} & \text{P. 7} & \text{P. 8} \\
\hline
2011 & 81 & 75 & 61 & 57 \\
2012 & 85 & 79 & 73 & 59 \\
2013 & 88 & 82 & 76 & 90 \\
2014 & 91 & 85 & 79 & 73 \\
\hline
\end{array}
\][/tex]
### Breakdown
1. 2011:
- P. 5: 81
- P. 6: 75
- P. 7: 61
- P. 8: 57
2. 2012:
- P. 5: 85
- P. 6: 79
- P. 7: 73
- P. 8: 59
3. 2013:
- P. 5: 88
- P. 6: 82
- P. 7: 76
- P. 8: 90
4. 2014:
- P. 5: 91
- P. 6: 85
- P. 7: 79
- P. 8: 73
The tabular data can be read as columns of values for each grade and year. Each year increases incrementally, and each corresponding grade level score is recorded.
By organizing the data in this manner and correcting any typographical errors, we have a clear and concise understanding of the information presented.
