To analyze how adding the score of 4 to the dataset \(3, 6, 2, 8, 6, 6, 9, 10, 3\) affects the five-number summary, we first need to determine the five-number summary for the original dataset:
- Minimum: The smallest value, which is \(2\).
- Q1 (First Quartile): The median of the lower half of the data. When the data is ordered: \(2, 3, 3, 6, 6, 6, 8, 9, 10\), Q1 is the median of \(2, 3, 3, 6\), which is \(3\).
- Median: The middle value of the ordered dataset. For our ordered data, the median is \(6\) (the 5th value).
- Q3 (Third Quartile): The median of the upper half of the data, which is the median of \(6, 6, 8, 9, 10\), giving us \(8\).
- Maximum: The largest value, which is \(10\).
Now, adding the score of 4 creates the new dataset: \(2, 3, 3, 4, 6, 6, 6, 8, 9, 10\).
Let’s determine the new five-number summary:
- New Minimum: \(2\) remains the smallest.
- New Q1: Now considering the lower half as \(2, 3, 3, 4, 6\), Q1 becomes the median of this set, which is \(3\) (the middle value).
- New Median: In the new ordered dataset, the median (5th position) is still \(6\).
- New Q3: For the upper half \(6, 6, 8, 9, 10\), Q3 remains \(8\) (the median of this segment).
- New Maximum: \(10\) remains the largest value.
Upon adding the score of 4, the following parts of the five-number summary do not change: Minimum, Q1, Median, Q3, and Maximum all stay the same.
Therefore, since no parts of the five-number summary change after adding 4, your answer to the question is:
None of the options provided (Q1, Q3, minimum, median) will change; thus, indicating that all values remain the same or none are applicable.