To analyze how the addition of the score of 4 will affect the five-number summary of the dataset, we first need to find the current five-number summary of the original dataset: 3, 6, 2, 8, 6, 6, 9, 10, 3.
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Ordering the dataset:
- Ordered data: 2, 3, 3, 6, 6, 6, 8, 9, 10
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Finding the five-number summary:
- Minimum: 2
- Q1 (first quartile): The median of the first half (2, 3, 3, 6) is 3.
- Median: The median of the dataset (6) is the middle value in the ordered list.
- Q3 (third quartile): The median of the second half (6, 6, 8, 9, 10) is 8.
- Maximum: 10
So the five-number summary before adding the score of 4 is:
- Minimum: 2
- Q1: 3
- Median: 6
- Q3: 8
- Maximum: 10
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Adding the score of 4:
- New dataset: 2, 3, 3, 4, 6, 6, 6, 8, 9, 10
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Re-ordering the new dataset:
- Ordered data: 2, 3, 3, 4, 6, 6, 6, 8, 9, 10
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Re-evaluating the five-number summary:
- Minimum: 2 (remains the same)
- Q1: The new first half is (2, 3, 3, 4, 6) - Q1 is 3 (remains the same)
- Median: The new median of the even dataset (6, 6) is (6 + 6)/2 = 6 (remains the same)
- Q3: The new second half is (6, 6, 8, 9, 10) - Q3 now takes the average of 8 and 9, which is (8 + 9)/2 = 8.5 (changes from 8 to 8.5)
- Maximum: 10 (remains the same)
Given this analysis, the only part of the five-number summary that changes when adding the score of 4 is Q3.
Thus, the correct response is: Q3