Quartiles Examples in Statistics
Start with the recap, study the fully worked examples, then use the practice problems to check your understanding of Quartiles.
This page combines explanation, solved examples, and follow-up practice so you can move from recognition to confident problem-solving in Statistics.
Concept Recap
Quartiles are values that divide ordered data into four equal parts: (25th percentile) marks the boundary below which 25% of data falls, (the median, 50th percentile) splits the data in half, and (75th percentile) marks the boundary below which 75% falls.
If you line up 100 people by height and divide into 4 equal groups, quartiles mark the dividing points. is where the shortest 25% ends, is the middle, is where the tallest 25% begins.
Read the full concept explanation โHow to Use These Examples
- Read the first worked example with the solution open so the structure is clear.
- Try the practice problems before revealing each solution.
- Use the related concepts and background knowledge badges if you feel stuck.
What to Focus On
Core idea: Quartiles asks how a value or feature behaves inside the full distribution.
Common stuck point: Students often know a procedure related to quartiles but skip the recognition step: Am I interpreting the whole distribution or a value position inside it, rather than just computing a single summary? That leads to a calculation or graph that looks reasonable but answers a different question.
Sense of Study hint: Ask: Am I interpreting the whole distribution or a value position inside it, rather than just computing a single summary?
Worked Examples
Example 1
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See the full worked solution + why-it-works coaching
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Try these problems on your own first, then open the solution to compare your method.
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Background Knowledge
These ideas may be useful before you work through the harder examples.