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A data set has three quartiles: Q1, Q2, and Q3, which divide the data into four equal parts.
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A data set has three quartiles, which divide the data into four equal parts. The quartiles are:
1. **First Quartile (Q1)**: This is the median of the lower half of the data set (25th percentile).
2. **Second Quartile (Q2)**: This is the median of the entire data set (50th percentile).
3. **Third Quartile (Q3)**: This is the median of the upper half of the data set (75th percentile).
Thus, while there are three quartiles, they help to create four segments of the data.
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A data set has three quartiles, which divide the data into four equal parts. The first quartile (Q1) represents the 25th percentile, the second quartile (Q2) is the median or 50th percentile, and the third quartile (Q3) marks the 75th percentile. Together, these quartiles help us understand the distribution and spread of the data! When you're working with quartiles, one common mistake is to forget that they only apply to ordered data. Make sure to sort your data first! Also, remember that the method of calculating quartiles can vary slightly, so check the formula being used (e.g., inclusive vs. exclusive methods) to ensure accuracy in your results!
