Alright, let's go through the given problem step-by-step.
We are given a table with the following headers:
- Not boys
- Total
We are specifically provided the data for "Juniors," and under the "Total" column for Juniors, the value is 700.
### Step-by-Step Solution:
1. Identifying the Total Number of Juniors:
- The total number of juniors is clearly marked as 700 in the table.
2. Understanding Missing Information:
- In the column for "Not boys," the value is not specified. Normally, "Not boys" would encompass all students who are not boys, which typically includes girls and potentially other gender identities depending on the context.
3. Conclusion:
- Without the exact number of "Not boys," we can't calculate or provide a concrete number for that category. Thus, we can represent "Not boys" as a placeholder indicating missing data.
- The key information we can confirm is the total number of juniors, which is 700.
Therefore, based on the provided data, the values are:
- Not boys: Not specified (we'll denote this as \( \text{None} \))
- Total Juniors: 700
So, the final answer presented in standard form will be:
[tex]\[
(\text{None}, 700)
\][/tex]
This means the total number of juniors is 700, but the number of not boys among them is unspecified in the given data.
