Test a sample model against an independent quantitative constraint
Fit one measurement, predict another, and distinguish model compatibility from unique identification.
Learning outcome: Hold composition 50% and compare volumes 3.5, 3.75, 4 mL. Then change composition while holding volume 3.75 mL. Retain predictions, residuals and decisions using±.10 mL.
Starting recap
Use algebra and dimensional consistency; distinguish a measured reading, a model estimate and the evidence needed to accept the model.
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Try
For 10 g with 50% E, the two-component model gives equal masses and additive volume 5/2+5/4=3.75 mL.
Open the experimentPredict
Does fitting the composition guarantee agreement with a separate volume measurement?
Experiment
Hold composition 50% and compare volumes 3.5, 3.75, 4 mL. Then change composition while holding volume 3.75 mL. Retain predictions, residuals and decisions using±.10 mL.
Test independent composition and volume constraints
Worked teaching model · synthetic values · A10 g fictional two-component sample has component mass fractions of E .40 and .60 and densities 2 and 4 g/mL. Volumes are stipulated additive. Composition is exact for this comparison; measured volume has±.10 mL absolute bound. Compatibility tests this model, not unique identity of a real unknown.
Reset keeps your prediction, captures and practice history.
| Quantity | Value | Unit |
|---|---|---|
| Mass fraction of density 2 component | 0.5 | fraction |
| Predicted additive volume | 3.75 | mL |
| Measured volume | 3.75 | mL |
| Observed minus predicted volume | 0 | mL |
| Within assigned volume bound | 1 | 1=yes,0=no |
| Bulk density from measured volume | 2.666667 | g/mL |
Both constraints are compatible under the stated model and bound.
Fit composition first, then predict a genuinely separate observable. Agreement is conditional, not unique identity. A mixture can contract, and shared calibration could correlate measurements; those alternatives need separate tests.
Predict before changing controls, retain contrasting captures, and explain a changed case. Displayed digits are computational precision, not an uncertainty claim. Flags check stipulated numerical compatibility, not identity, reasoning quality or practical proficiency.
Both constraints are compatible under the stated model and bound.
Fit composition first, then predict a genuinely separate observable. Agreement is conditional, not unique identity. A mixture can contract, and shared calibration could correlate measurements; those alternatives need separate tests.
Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.
Understand
Apply
Public practice checks a specific claim. It does not establish independent mastery.
Name two alternatives to a rejected model and one independent measurement that could separate them.
Continue
Completion requires a saved prediction, at least one capture and a reflection. Presence checks do not grade your reasoning.
Skipping retains experiments and awards no mastery.
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