How can identical averages hide opposite trends?
Imagine weekly measurements of 2, 4, 6 and then the reverse: 6, 4, 2. Both sequences average 4 and have the same spread, yet one rises while the other falls. Explore why putting observations in time order can reveal a pattern that a summary number erases.
Questions you could explore
- What changes when the same measurements are shown in a different time order?
- How can a run-sequence plot reveal drift or changing variation that a mean alone hides?
Start reading
- NIST/SEMATECH e-Handbook of Statistical MethodsRun-Sequence Plot
NIST shows how an ordered plot reveals shifts, variation, and outliers that a summary can conceal.
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