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SCIENCE · INVESTIGATE AND EXPLAIN

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 experiment

Predict

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.

Conditional calculations; not physical measurements
QuantityValueUnit
Nominal density2g/mL
Minimum feasible density1.92233g/mL
Maximum feasible density2.082474g/mL
Candidate 1.95 compatible11=yes,0=no
Candidate 2.10 compatible01=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

A density result contains a model

Density is mass divided by volume for the same sample and conditions. Our synthetic measurements are 20 g and 10 mL, with adjustable absolute bounds. The nominal ratio is 2 g/mL. A long decimal expansion of that ratio would not provide more information about the actual density. The task is to propagate the specified feasible inputs before comparing hypotheses.

Derive endpoint bounds

For positive volume, increasing mass increases m/V and increasing volume decreases it. Therefore the minimum ratio pairs the smallest mass with the largest volume; the maximum pairs the largest mass with the smallest volume. This is an exact monotonicity argument for a rectangular feasible region. It is not an approximate “same number of significant figures” rule.

Work the original packet

With mass bound 0.20 g and volume bound 0.30 mL, the interval is [19.8/10.3, 20.2/9.7], approximately [1.9223, 2.0825] g/mL. The exact hypothetical candidate 1.95 g/mL is compatible; 2.10 g/mL is not. This conclusion depends on matched temperature, correct sample pairing, valid bounds and the declared density model.

Compare measurement improvements

Reduce only the mass bound, then restore it and reduce only the volume bound. Compare the resulting interval widths rather than assuming the visually smaller uncertainty is automatically less important. A gram and a milliliter are different dimensions. Relative sensitivities depend on the nominal values: an absolute 0.1 mL error is 1% of 10 mL, while 0.1 g is 0.5% of 20 g.

Avoid false identification

An interval containing one listed candidate excludes the other listed candidate under the model. It does not prove that every possible material has been considered, that the sample is pure, or that a mixture cannot have the same density. Request another observable whose prediction differs across remaining explanations. Density by itself is often an underdetermined identification problem.

Challenge the feasible region

If mass and volume share a calibration variable, not every corner of an independently drawn rectangle may be possible. The conservative rectangle may then be too broad, or the assumed bounds may be wrong. Describe a joint-error model before narrowing the interval. For a fresh case, 12±0.2 g and 4±0.1 mL give [11.8/4.1,12.2/3.9], approximately [2.8780,3.1282] g/mL. Retain units at every step.

Source and evidence boundary

These explanations, calculations and diagrams are original. Conceptual references checked 30 October 2026: NIST uncertainty framework, OpenStax dimensional calculations. The linked textbook is a reference, not copied lesson text or imagery. All displayed datasets are synthetic teaching packets. Saved numerical agreement or prose is not a performed practical, independent reasoning review or laboratory certification. No handling, heating or chemical preparation procedure is requested.

Apply

Mass 20±.5 g and volume 10±.5 mL give which conservative density interval?

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

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