// Field files for grades 2–12Observe. Measure. Explain.
A holographic scatterplot shows two upward patterns beside glowing icons for sunshine and ice cream.
Correlation describes a pattern of association between variables; it is a clue worth investigating, but it does not identify the cause by itself.
← RETURN TO LESSONLAB DOSSIER / GUIDED VIDEOENGLISH VOICEOVER · CAPTIONS

SCIENTIFIC METHOD · GRADES 4–8

Correlation or cause?

INVESTIGATION QUESTIONDoes a matching trend prove one factor caused another?

● ILLUSTRATIVE SCIENCE MODEL
ENGLISH CAPTIONS

Read how ice-cream sales and sunburn reports rise together.

0.0 / 3.0 s
01 / SCIENCE

What explains the result?

Two trends can move together without one causing the other; a controlled follow-up tests a causal explanation.

02 / EVERYDAY CONNECTION

Where does this matter?

This distinction matters in health headlines, policy decisions, and everyday data claims.

03 / MODEL LIMIT

What should you keep in mind?

The score supports reasoning only. Real causal evidence needs appropriate study design and analysis.

Continue to the interactive experiment ↓
Warm weather connects to ice cream sales and swimming in a holographic causal diagram, while the outcomes share a dotted association line.
A third variable, such as warm weather, can influence two outcomes and make them move together even when neither directly causes the other.

DEDICATED PRACTICE ROOM · SCIENTIFIC METHOD

Correlation or cause?

FREE · SELF-PACED · MODEL / PRACTICE DATA
YOUR TASK

Does a matching trend prove one factor caused another?

Correlation or cause?: experiment-specific laboratory scene
READ THE BENCH CARD

Read association without claiming proof of cause

Inspect the plotted association, then choose the strongest conclusion the study design supports. The score supports reasoning only. Real causal evidence needs appropriate study design and analysis.

MATERIALS / DATATwo trend charts · Third-variable cards · Follow-up plan
OBSERVATIONAL DATA · ICE CREAM SALES / SUNBURNSBoth rise in summer. Does one cause the other?
Select the conclusion supported by this evidence
WHAT TO TAKE AWAY

Two trends can move together without one causing the other; a controlled follow-up tests a causal explanation.

WHERE THIS IS USED

This distinction matters in health headlines, policy decisions, and everyday data claims.

MODEL LIMIT The score supports reasoning only. Real causal evidence needs appropriate study design and analysis. The activities on this page do not store classroom measurements.

A researcher changes one intervention on a holographic console while temperature, time, materials and environment remain fixed.
A controlled experiment can provide stronger evidence about causality by deliberately changing one factor and comparing measured outcomes under consistent conditions.