Derive exact density bounds and conditional identification
Use monotonicity of a positive ratio to build a feasible interval instead of reporting unsupported precision.
Learning outcome: Compare mass bounds .1/.5 g at fixed volume bound .3 mL, then volume bounds .1/.5 mL at fixed mass bound .2 g. Retain intervals and evaluate both reference hypotheses.
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 mass 20±.2 g and volume 10±.3 mL, density lies between 19.8/10.3 and 20.2/9.7 g/mL.
Open the experimentPredict
Which corners of the mass–volume rectangle give the smallest and largest density?
Experiment
Compare mass bounds .1/.5 g at fixed volume bound .3 mL, then volume bounds .1/.5 mL at fixed mass bound .2 g. Retain intervals and evaluate both reference hypotheses.
Propagate a positive ratio by endpoints
Worked teaching model · synthetic values · Mass 20 g and volume 10 mL have independent rectangular feasible bounds, not probability distributions. Density=m/V and all feasible volumes stay positive. Reference candidates 1.95 and 2.10 g/mL are exact teaching hypotheses at matched conditions.
Reset keeps your prediction, captures and practice history.
| Quantity | Value | Unit |
|---|---|---|
| Nominal density | 2 | g/mL |
| Minimum feasible density | 1.92233 | g/mL |
| Maximum feasible density | 2.082474 | g/mL |
| Candidate 1.95 compatible | 1 | 1=yes,0=no |
| Candidate 2.10 compatible | 0 | 1=yes,0=no |
The smallest ratio combines the smallest numerator with the largest positive denominator.
This is a conservative feasible interval, not a confidence interval. Mass and volume sharing a calibration error would require a joint feasible model rather than independent endpoint pairing.
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.
The smallest ratio combines the smallest numerator with the largest positive denominator.
This is a conservative feasible interval, not a confidence interval. Mass and volume sharing a calibration error would require a joint feasible model rather than independent endpoint pairing.
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.
Explain why compatibility is not unique identity and why correlated errors require a different feasible region.
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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