Interpret data
Practice reading tables, graphs, trends, variables, and relationships. Start by identifying what each axis, column, or measurement represents before comparing values.
Practice ACT Science with original data, experiment, and evidence questions designed for focused review.
Start Free Practice →Practice reading tables, graphs, trends, variables, and relationships. Start by identifying what each axis, column, or measurement represents before comparing values.
Review experimental design, independent and dependent variables, controls, procedures, and how a change in the setup could affect the result.
Use the information provided in the passage, figure, or experiment to decide which claim is supported. Avoid choosing an answer based only on outside science knowledge when the question asks about the given data.
The ACT Science question bank on this site includes 68 original questions, focused on data representation, research summaries, and evaluating conflicting viewpoints.
Data: A student measured seed germination at different soil temperatures.
| Soil Temp (°C) | Seeds Germinated (of 50) |
| 10 | 8 |
| 15 | 22 |
| 20 | 41 |
| 25 | 47 |
| 30 | 45 |
Question: Based on the data, as soil temperature increased from 10°C to 25°C, the number of seeds germinated:
Correct answer: B) increased steadily. From 10°C to 25°C the germination count rises at every step: 8, then 22, then 41, then 47 — a steady increase across that range. (The count does dip slightly at 30°C, but that point falls outside the 10–25°C range the question asks about.)
Yes. You can start the ACT Science practice tools without a paid subscription.
Practice focuses on data interpretation, scientific investigation, experiments, and evaluating claims with evidence.
ACT policies can change, so use the current official ACT information for your own testing situation. This page provides independent practice only.
The ACT Science bank includes 68 original questions, focused on interpreting data, experiments, and evaluating claims with evidence.
See the worked example above, which shows how to read a data table and identify a trend across a specific range of values.