Statistics › Section J · Hypothesis testing with two samples › Topic J.5
Matched or paired samples
Measure the same students before and after a program, the same vials in two labs, the same twins under two conditions - and the design, not the data, changes the test. Paired data collapses into differences, and a one-sample test on those differences is both simpler and far more sensitive.
In this topic
- When the design pairs
- The method: test the differences
- Why pairing is powerful
- Conditions: the differences must behave
- Worked example: a reading program
- Worked example: the interval, and the pairing dividend
- Paired or independent? The design decides
- Common mistakes to avoid
- Key takeaways
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