Key Terms
- Range: Total spread of data (highest โ lowest)
- Quartile: A value that divides ordered data into four equal parts
- Q1 (Lower Quartile): 25% of data lies below this value
- Q2 (Median): 50% of data lies below this value
- Q3 (Upper Quartile): 75% of data lies below this value
- IQR: Interquartile range โ spread of the middle 50% of data
Must-Know Facts
- Always sort data into ascending order before finding quartiles
- Range is affected by outliers; IQR is not
- IQR is always less than or equal to the range
- A smaller IQR means data is more consistent (less spread)
- A larger IQR means data is more variable
- Use IQR when comparing consistency between two datasets
- IQR and range share the same units as the original data
Key Formulas
- Range = highest value โ lowest value
- IQR = Q3 โ Q1
- Q1 = median of the lower half of data
- Q3 = median of the upper half of data
Common Mistakes
- Not ordering data first: Always sort data in ascending order before finding quartiles or range
- Including the median in quartile halves: For an odd number of values, exclude the median when finding Q1 and Q3
- Range vs IQR: Range uses all values (affected by outliers); IQR uses only the middle 50% (more reliable)
- IQR = Q3 โ Q1, not Q3 รท Q1: Subtract the lower quartile from the upper quartile
This topic summary covers Knowledge Organiser: Range and Interquartile Range (IQR) within Range & IQR for GCSE Mathematics. Revise Range & IQR in Statistics for GCSE Mathematics with 12 exam-style questions and 20 flashcards. This topic appears less often, but it can still be a useful differentiator on mixed-topic papers. It is section 8 of 8 in this topic. Use this topic summary to connect the idea to the wider topic before moving on to questions and flashcards.
Practice questions for Range & IQR
The range of a set of data is calculated by:
Explain why the interquartile range (IQR) is sometimes preferred over the range as a measure of spread.