How to Approach the ACT Science Section (with Question Types)

What You Need to Know

The ACT Science section is not a science-content test as much as it’s a data-reading + experiment-reasoning + argument-comparison test. Your score comes from how efficiently you:

• Locate the right figure/table/statement
• Read axes/units/labels correctly
• Compare conditions (A vs B, Trial 1 vs Trial 2)
• Infer what must be true given the provided information

The 3 Passage Types (and why they matter)

You’ll see a mix of these:

• Data Representation: graphs/tables with short blurbs. Mostly “read the graph” questions.
• Research Summaries: experiments with methods + results. Mostly variables/controls + interpreting results.
• Conflicting Viewpoints: 2–4 “students/scientists” argue different explanations. Mostly compare claims and spot agreements/disagreements.

The Core Rule of ACT Science

Everything you need is usually on the page. Outside science knowledge is minimal and typically basic (definitions like “acidic vs basic,” “increase temperature increases particle speed,” etc.).

Critical reminder: The #1 skill is targeted reading. Don’t “study” the passage like a textbook—hunt for the specific piece of info the question demands.

The Main Question Types (what you’re really being asked)

1. Direct lookup (detail): “According to Figure 2…”
2. Trend/relationship: increasing/decreasing, proportional, peak/minimum, compare slopes.
3. Interpolation / extrapolation: estimate between points or slightly beyond the range.
4. Compare conditions: different trials, different substances, different temperatures.
5. Experimental design: identify independent/dependent variables, control group, constants.
6. Inference: what must be true based on the pattern.
7. Conflicting viewpoints: who agrees/disagrees, what would each predict.
8. “NOT/EXCEPT”: eliminate 3 true statements to find the 1 false.

Step-by-Step Breakdown

Use different micro-strategies depending on the passage type.

A. Global timing approach (simple and realistic)

1. Aim for ~5 minutes per passage on average.
2. Don’t read everything first. Start with the questions and let them tell you what to look at.
3. Skip fast when stuck: if a question is taking too long, mark it, guess strategically, and move on. You can return if time remains.

Decision point: If you’re consistently slow, prioritize Data Representation and Research Summaries first; Conflicting Viewpoints often takes longer.

B. Data Representation passages (graphs/tables)

1. Glance at the intro sentence (what’s being measured).
2. Go straight to the questions.
3. For each question:
   • Find the referenced figure/table (don’t bounce between multiple unless asked).
   • Read axes labels + units + scale first.
   • Identify the series/legend (colors, line styles, symbols).
   • Answer only what’s asked (single point? comparison? trend?).

Mini-walkthrough (annotated):

• Question: “At $20^\circ$C, what is the value of X for Sample B?”
  1) Find $20^\circ$C on the x-axis
  2) Move up to Sample B line/symbol
  3) Read the y-value with units

C. Research Summaries passages (experiments)

1. Read the purpose (often 1–2 sentences): what are they testing?
2. Skim the method just enough to map:
   • Independent variable (IV): what they change
   • Dependent variable (DV): what they measure
   • Constants: what stays the same
   • Control (if any): baseline condition
3. Use figures/tables for most questions.
4. For design questions:
   • If they ask “What should be held constant?” pick something that would otherwise confound the IV→DV relationship.
   • If they ask “Which setup tests X?” choose the option where only X changes.

Decision point: If the passage has dense method text, skip it until a question forces you back.

D. Conflicting Viewpoints passages (arguments)

This is the one place where reading order matters.

1. Read the question stems first to see what comparisons will be needed.
2. Then read Viewpoint 1–4 actively:
   • Underline (mentally) each viewpoint’s main claim
   • Note what variable they think matters and what they predict
3. Answer questions by matching language precisely (don’t “blend” viewpoints).

Fast marking system (in your head/on scratch):

• V1: Claim = ____ ; Predicts: if A increases, B ____
• V2: Claim = ____ ; Disagrees with V1 because ____

E. Universal question-solving loop (works everywhere)

1. Rewrite the question in plain English (what are they really asking?).
2. Identify the location clue: Figure 1? Table 2? Experiment 3? Student B?
3. Extract only the needed values/claims.
4. Check units and direction (increase vs decrease).
5. Eliminate wrong answers aggressively (ACT loves tempting, slightly-off options).

Key Formulas, Rules & Facts

You don’t need many formulas, but you do need consistent “graph math” and experiment logic.

A. Graph/Math tools (rarely heavy, but often helpful)

B. ACT Science “rules of thumb” for figures

C. Experimental design essentials (high-yield)

D. Conflicting Viewpoints essentials

Examples & Applications

These are representative of how questions actually feel.

Example 1: Direct lookup (Data Representation)

Setup: Figure shows temperature (x-axis) vs solubility (y-axis) for Substance A and B.

Question type: “At $30^\circ$C, the solubility of Substance B is closest to…?”

Key insight:

• Don’t read the passage.
• Go to $30^\circ$C → find B line → read y-value with units.

Common variation: They’ll swap axes or use units like g/100 mL—units matter.

Example 2: Trend/relationship (steepness)

Setup: Two lines show growth over time for Group 1 and Group 2.

Question type: “During the first 5 minutes, which group had the greater rate of increase?”

Key insight:

• Rate = slope over that interval.
• Compare steepness from $t=0$ to $t=5$.
• If needed, compute approximate slope using $\frac{\Delta y}{\Delta x}$.

Example 3: Research Summary (identify IV/DV)

Setup: Experiment tests effect of light intensity on plant oxygen production.

Question type: “What is the dependent variable?”

Key insight:

• IV = light intensity (what they changed)
• DV = oxygen produced (what they measured)

Variation: They may hide DV in wording like “rate of bubble formation” or “change in mass.”

Example 4: Conflicting Viewpoints (agreement/disagreement)

Setup: Student 1 says warming causes reaction rate to increase because particles move faster. Student 2 says warming has no effect because concentration stays constant.

Question type: “Which statement would both students most likely agree with?”

Key insight:

• Don’t import your own science opinion.
• Pick the statement that matches both texts. They may agree on a definition (e.g., “temperature is measured in degrees”) even if they disagree on causation.

Common Mistakes & Traps

1. Skipping axes/units: You grab the right-looking number but from the wrong unit or axis. Fix: every graph question begins with axis label + unit check.

2. Using the wrong data series: You answer for Sample A when asked about Sample B (or mix up symbols). Fix: confirm the legend each time, especially with similar line styles.

3. Over-reading the passage: You burn time reading paragraphs that never get tested. Fix: let questions direct your reading; return to text only if needed.

4. Falling for “NOT/EXCEPT” traps: You choose a true statement because you forgot it asks for the false one. Fix: circle/underline NOT/EXCEPT mentally; treat it like a scavenger hunt for the wrong choice.

5. Extrapolating too confidently: You assume the trend continues perfectly far beyond the data. Fix: only extrapolate slightly; if answer choices are extreme, the safest may be “cannot be determined.”

6. Confusing IV vs DV in Research Summaries: You label what’s measured as the IV because it’s “important.” Fix: IV = what they set; DV = what they record (often y-axis).

7. Ignoring constants/confounds: You pick an option where multiple variables change, so the test doesn’t isolate the cause. Fix: the correct design changes one thing at a time.

8. Blending viewpoints (Conflicting Viewpoints): You answer with what seems scientifically reasonable rather than what the student said. Fix: treat each viewpoint like a “character” with strict lines—match their words.

Memory Aids & Quick Tricks

Quick Review Checklist

• You’re mostly being tested on reading: figures, variables, comparisons.
• Start with questions, not full passage reading (especially for Data Representation).
• For every graph/table: Axes → Units → Legend before you read values.
• Watch for scale tricks: uneven increments, dual axes, log scales.
• Research Summaries: identify IV, DV, constants, control.
• Prefer choices that change only one variable in design questions.
• Conflicting Viewpoints: separate each viewpoint’s claim; answer from text only.
• Circle NOT/EXCEPT mentally; use elimination.
• If stuck, guess and move—time is a bigger enemy than content.

You’ve got this—stay mechanical, stay calm, and let the figures do the work.