1. Fundamental Concepts
- Median: It is the value in the middle of a set of data when the data is sorted in ascending (or descending) order. It divides the data into two equal parts, each accounting for 50%. If the number of data points is odd, the median is the middle number; if even, it is the average of the two middle numbers.
- Q1 (Lower Quartile): When the sorted data is divided into four equal parts, Q1 is the value at the 1/4 position, with 25% of the data below it.
- Q3 (Upper Quartile): Similarly, when the sorted data is divided into four equal parts, Q3 is the value at the 3/4 position, with 75% of the data below it.
2. Key Concepts
- All three are calculated based on sorted data and are key statistical measures describing the position and distribution of data.
- The median reflects the central tendency of the data and is not affected by extreme values; Q1 and Q3 are used to divide the distribution range of the data, helping to analyze the degree of data dispersion.
3. Examples
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1.
Data: 3, 5, 7, 9, 11- Median: The middle number, 7
- Q1: The median of the first half (3, 5), i.e., (3 + 5) ÷ 2 = 4
- Q3: The median of the second half (9, 11), i.e., (9 + 11) ÷ 2 = 10
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2.
Data: 6, 4, 9, 6, 2, 8, 4, 10
Sorted: 2, 4, 4, 6, 7, 8, 9, 10- Median: The average of the two middle numbers (6, 7), i.e., (6 + 7) ÷ 2 = 6.5
- Q1: The median of the first half (2, 4, 4, 6), i.e., (4 + 4) ÷ 2 = 4
- Q3: The median of the second half (7, 8, 9, 10), i.e., (8 + 9) ÷ 2 = 8.5
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3.
Data: 0, 2, 3, 5, 4, 4, 6, 7, 9, 8, 17
Sorted: 0, 2, 3, 4, 4, 5, 6, 7, 8, 9, 17- Median: The 6th number, 5
- Q1: The median of the first half (0, 2, 3, 4, 4), i.e., the 3rd number, 3
- Q3: The median of the second half (6, 7, 8, 9, 17), i.e., the 3rd number, 8
4. Problem-Solving Techniques
- Prioritize Sorting: The data must be sorted in ascending (or descending) order before calculation, which is the prerequisite for accurately finding the median, Q1, and Q3.
- Locate Key Positions:
- Median position: If the number of data points is n, the position is (n + 1) ÷ 2 (for an odd n, take the value at this position directly; for an even n, take the average of the values at the adjacent two positions).
- Q1 position: The median position of the first half of the data, i.e., (number of data points in the first half + 1) ÷ 2.
- Q3 position: The median position of the second half of the data, calculated in the same way as Q1.
- Distinguish Between Odd and Even Counts: When the number of data points is even, the first half and the second half each contain n/2 data points; when odd, the median is a separate middle value, and the first half and the second half each contain (n - 1)/2 data points.