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SCIENCE · INVESTIGATE AND EXPLAIN

Defend a claim and revise its limits

Build an evidence-based conclusion that can change.

Learning outcome: Distinguish a result, its interpretation and a test that could reverse the interpretation.

Starting recap

A supported claim states its scope and alternatives rather than treating one result as universal.

All lessons are open directly. Your saved experiments remain when you leave and return.

Try

An input separates two model predictions under a small measurement bound.

Open the experiment

Predict

What would make your previous conclusion inconclusive?

Experiment

Capture a separating case and an overlapping case by changing the error bound.

Choose a discriminating input

Worked teaching model · synthetic values · Model A predicts 4 cm; model B predicts 2 cm/s × input time. Each prediction has a bounded measurement interval, not a probabilistic confidence interval.

Reset keeps your prediction, captures and practice history.

02.557.5101234Row number · values in cm
Calculated values on the same fixed scale
RowQuantityValue (cm)
1Model A prediction4
2Model B prediction4
3Prediction separation0
4Combined interval half-widths1

The bounded prediction intervals overlap.

A test separates these bounded predictions only when |4 − 2t| > 2 × error bound. A larger gap helps only within the stated model domains. Neither model is established as true by choosing this input.

Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.

Understand

Separate what happened from what it means

A strong conclusion connects a claim to evidence through an explicit model. It also says where that reasoning might fail.

For example: at 3 seconds, the two candidate predictions are 4 and 6 cm. With a 0.25 cm error bound their permitted readings are disjoint. This supports choosing that setting for a discriminating measurement. It does not establish which model is correct because no real measurement has yet been supplied.

If the bound increases to 2 cm, the permitted ranges overlap. The experimental-design conclusion must change even though the candidate models are unchanged.

Revision is part of the reasoning

Keep the earlier prediction and explain why it changed. A revised conclusion should identify whether the new information concerns the observation, calibration, assumptions or interpretation.

A useful counterproposal gives a concrete result that would weaken your favored explanation. “More research is needed” alone does not specify what evidence matters.

For the cumulative project, use at least two different investigation mechanisms and compare two settings within one mechanism. Write a reproducible procedure, an evidence-based claim and an alternative explanation. The site’s presence checks can establish that fields and captures exist. They cannot certify that your prose is scientifically persuasive; that needs review of the actual argument.

Apply

A result conflicts with a favored model. The best response is:

Public practice checks a specific claim. It does not establish independent mastery.

Write a claim, cite both captures, name an alternative, and specify a new observation that could change your view.

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.

Save a science backup or import one

Science work is stored locally in this browser, separately from mathematics and AI. It does not sync automatically. Use this science-only backup; this checkout's older all-subject export does not include science.

A legacy file is available only when the complete snapshot fits the 36 MB limit. For larger snapshots, prepare a complete file set below; never discard notebooks to make a smaller file.

Matching imported notebook drafts replace their current drafts. Omitted lessons and known first attempts remain. Export your current work first if you want to retain both drafts.

Complete file sets and course backups

A file set can hold more work than one science file. Keep its manifest and every part together. Each file is limited to 36 MB. This format needs this version of LearnAI or a compatible newer version; older versions can use only the legacy single-file backup above.

The set includes every saved science course and global continuation at this moment. Later edits need a new export. A conflicting tab exports its own visible work, which may differ from saved work in another tab.

0 file(s) selected. File order and filenames do not determine identity. Missing, changed or conflicting parts block the entire restore; no good part is applied by itself.

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