To determine the percentage of assignments where Harper took 12 or more photos, we first need to understand the data represented in the box plot.
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Identify the Quartiles: A box plot typically shows the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum. Looking at the values you've provided:
- Minimum: 6
- First Quartile (Q1): 10
- Median (Q2): 14
- Third Quartile (Q3): 18
- Maximum: 26
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Find the Count of Assignments: Generally, box plots represent a range of values across a data set. In this case, we are only given the unique points from a box plot. It looks like the data consists of assignments where the number of photos taken could be any value from the minimum to the maximum based on the quartiles.
Given that the box plot shows values (6, 10, 14, 18, 22, 26), let's assume Harper has assignments consisting of those values (though the actual number of assignments for each value is not specified).
- Count Assignments of 12 or More Photos: The values that are 12 or more in the provided range are:
- 14
- 18
- 22
- 26
Thus, there are 4 values (or assignments) that fall into this category.
- Total Assignments: The total number of unique values shown in the box plot is 6. If we treat each point in the box plot as a single assignment for simplicity, the values would be:
- 6
- 10
- 14
- 18
- 22
- 26
So there are 6 total assignments.
- Calculate the Percentage: To find the percentage of assignments where Harper took 12 or more photos:
\[ \text{Percentage} = \left(\frac{\text{Number of assignments with } \geq 12 \text{ photos}}{\text{Total assignments}}\right) \times 100 \]
\[ \text{Percentage} = \left(\frac{4}{6}\right) \times 100 \approx 66.67% \]
Therefore, Harper took 12 or more photos on approximately 66.67% of her assignments.