How data builds explanations
Examine how people use relevant data and observations to develop and check scientific explanations, recognising that data showing a change (e.g. a count) does not by itself explain the cause, and that an explanation is supported when the relevant observations fit it
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Counts can show change without showing its cause. Check an explanation against relevant observations and ask what would not fit. These invented frog counts are not a real creek report. Safety: No wildlife handling, water sampling or outdoor investigation is required. Stop: End with the proposed evidence check. Do not visit creeks, handle frogs or collect water.
Materials: Paper; Pencil; Two colouring pencils 1. Draw this illustrative table: Survey | Frogs counted | Duration | Method. First | 12 | 10 minutes | count from bank at dusk. Second | 6 | 10 minutes | count from same bank at dusk. Record only the count change, not a population decline as a fact. 2. Compare two possible explanations: fewer frogs were present; frogs were harder to see. Write why either could produce fewer counted frogs. The table does not say how many were hidden. 3. Add these illustrative clues: First survey had clear viewing; second had tall plants blocking part of the view. Underline which explanation this makes more plausible, while noting that frog numbers might also have changed. 4. Choose two useful additional records from this complete list: rainfall, water-quality measurements by trained adults, visibility, number of pencils in the observer’s bag. Explain why your chosen records are relevant; reject the pencil count. 5. Check this proposed explanation: Counts were lower only because less of the bank could be seen. Describe a result that would not fit well, such as equally clear views on repeated surveys with consistently lower counts. Write a cautious final statement. Done: The learner separates count change from cause, uses a relevant clue and describes one result that would challenge an explanation. Proof: Keep the table and explanation check, labelled illustrative. Note adult prompts. Stop: End with the proposed evidence check. Do not visit creeks, handle frogs or collect water.
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US EPA · Practice link — not the full lesson
Students
Before you open · source notes
Students supports How data builds explanations. An adult previews and guides; this is a learning page, not a scored quiz.
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Before you openAsk the learner one fact they learned and one question they still have.
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Source, access and review notes
Public US EPA page. An anonymous GET on 2026-11-12 returned HTTP 200 with no login or payment prompt for this URL. Opening the link does not save practice or assess mastery. An adult should preview and guide the learner.
US EPA. “Students.” External page; Gakuva does not copy, host, embed, or redistribute materials.
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Check understanding
- Explain that a citizen-science count showing fewer frogs in a creek shows that numbers changed but not why, and suggest other data (e.g. water quality or rainfall records) that could help explain the change
- Use a class table of shadow lengths measured through the day, together with observations of the sun's height in the sky, to explain the pattern with 'The data shows... because...'
- Check whether the data fit the proposed explanation (e.g. the shortest shadow occurs when the sun is highest) and describe a result that would not fit it
“If your child measures their shadow at different times of day and watches how high the sun is, can they use both to explain why the shadow gets shorter and longer?”
Curriculum record
- Type
- Conceptual
- Subject
- Science
- Domain
- Scientific Inquiry
- Age range
- Ages 8–9
Standards