Identify experimental units and use paired contrasts
The unit independently assigned to a condition determines the replication available for a treatment claim. A hundred detector scans of one preparation are a hundred technical readings, not a hundred independent biological preparations. They can reveal instrument repeatability while leaving preparation-to-preparation variation almost unmeasured.
Learning outcome: Set treatment effect0 and batch shift4. Compare the paired estimate with the confounded estimate. Then change the treatment effect while holding batch offset fixed. State the number of biological units and name a violation that pairing cannot remove.
Starting recap
Separate mechanism, measurement, material balance and model validity. Preserve raw evidence and the assumptions needed for each inference.
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Baselines8,10,12, a treatment effect3 and a shared+2 shift in preparation3 give paired controls8,10,14 and treated11,13,17. Each paired difference is3. A separate confounded design with only treatment batches shifted gives an apparent contrast3+2=5.
Open the experimentPredict
Will a common shift in one paired preparation change its treatment-minus-control difference? Would shifting only the treated batch cancel?
Experiment
Set treatment effect0 and batch shift4. Compare the paired estimate with the confounded estimate. Then change the treatment effect while holding batch offset fixed. State the number of biological units and name a violation that pairing cannot remove.
Compare treatment contrasts within biological blocks
Worked teaching model · synthetic values · Three independent fictional biological preparations have baseline responses 8,10,12. Each preparation is split into paired control/treatment aliquots; offset affects both aliquots of preparation3. The alternative confounded comparison uses unshifted controls and shifted treatment batches. Splits and technical repeats are not additional independent preparations.
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Within-preparation contrasts cancel a common additive batch shift; confounded assignment does not.
Pairing is useful because the comparison shares relevant nuisance factors. It does not remove treatment-by-preparation interactions, spillover or measurement drift that differs between aliquots. Three paired preparations, not six aliquots or repeated scans, are the independent biological units in this stipulated design.
| Quantity | Value | Unit |
|---|---|---|
| Preparation 1 control | 8 | response units |
| Preparation 1 treatment | 11 | response units |
| Preparation 1 paired contrast | 3 | response units |
| Preparation 2 control | 10 | response units |
| Preparation 2 treatment | 13 | response units |
| Preparation 2 paired contrast | 3 | response units |
| Preparation 3 control | 14 | response units |
| Preparation 3 treatment | 17 | response units |
| Preparation 3 paired contrast | 3 | response units |
| Mean paired contrast | 3 | response units |
| Confounded unpaired contrast | 5 | response units |
| Independent biological preparation count | 3 | preparations |
Save settings, the prior prediction, quantities and interpretation in the lesson notebook. A model replay is not a physical investigation or independently verified proficiency.
Within-preparation contrasts cancel a common additive batch shift; confounded assignment does not.
Pairing is useful because the comparison shares relevant nuisance factors. It does not remove treatment-by-preparation interactions, spillover or measurement drift that differs between aliquots. Three paired preparations, not six aliquots or repeated scans, are the independent biological units in this stipulated design.
Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.
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Public practice checks a specific claim. It does not establish independent mastery.
Four preparations each provide a paired control and treatment aliquot, with three detector scans per aliquot. How many independent biological paired contrasts are available? What do the additional scans contribute?
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