Thirteen questions on the three things this section actually asks — and almost none of them require you to know any science.
Reading results. Find a value, describe a trend, work out an average rate over a stated interval, recognise that a pressure and a volume whose product stays constant are inversely proportional. The arithmetic is small; the discipline is reading the units and the variable names before the numbers.
Judging how a study was built. Which variable was changed on purpose, which was measured, what a constant was holding steady and why, and why a student repeated each trial three times. These are worth learning as a short set of sentences, because they recur on every form and the wording barely changes.
Two scientists. Two short accounts of the same phenomenon that agree about most of it and part company on one step — a rock layer laid down fast by ash or slowly by marine sediment, atmosphere lost to solar wind or to gravitational escape, a mass extinction from an impact or from sustained volcanism. What would one of them predict; which described result would support or undermine one of them. The trap is always the same: the two agree about more than they disagree about, and a wrong option takes shared ground and presents it as the dispute.
The wrong answers misuse data that has been read correctly. That is the signature of this section, and it is why knowing the science can hurt you. An option compares the wrong pair, or asserts a trend two points cannot establish, or draws a cause from an observation, or takes the highest value that happened to be measured for the highest value there is.
That last one is worth dwelling on, and one question here is built entirely around it. Four pH values were sampled and the rate peaked at the third. The tempting answer is that the optimum is exactly that pH. It is not: nothing was measured between the sampled points, so the peak could sit anywhere in the gap. When a question asks what results support, the answer is the weakest claim the numbers actually carry — not the most interesting one.
What this cannot do, and it is half the section. The real ACT Science section is figures: graphs, tables, scatterplots, several at once, read fast. These materials carry no images, so every data set is described in words with its units and its controls. That trains the judgement and not the eye.
So use these for the reasoning — what a trend supports, what a control was for, where two accounts diverge — and then go and read real figures under a clock on ACT's own free practice tests. And settle first whether science is even on your test: it no longer counts towards the Composite, and on a school administration the decision is not yours.
Every study described here is invented and framed as one experiment or one student's measurements, never as a published finding. Nothing is reproduced from any ACT publication.
A student measured the rate of an enzyme-catalysed reaction at pH 2, 4, 6 and 8, holding temperature and enzyme concentration constant; the rates were 5, 15, 25 and 10 micromoles per minute. Which statement about the optimum pH do these results support? — The rate climbs to pH 6 and has fallen by pH 8, so the optimum lies somewhere in that window — but nothing was measured between the sampled points, and saying the optimum is exactly pH 6 mistakes where you happened to measure for where the maximum is.
A biologist studies plant growth under different light colors. Group A (red light) grew 10 cm. Group B (blue light) grew 12 cm. Group C (green light) grew 5 cm. The soil type, water volume, and temperature were held constant for all groups. Which of the following is the independent variable?
Light color
The independent variable is the factor intentionally changed by the researcher, which is the light color. Plant height is the dependent variable, and the others are controlled variables.