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ACT® · Science: Interpretation of Data (13-17 items)

Analyzing Data When New Information Arrives (IOD 505 and 702)

Some science questions add a sentence of new information after you've already read the figures. You don't re-derive anything from scratch — you take the trend or rule already shown and apply it to the new case.

A figure gives you a trend: yield rises with temperature, activity peaks at a certain pH, concentration follows some pattern. A question stem sometimes hands you one more fact — a new trial, a conversion factor, a value for a variable not even on the graph. That one sentence doesn't throw out the figure. It tells you where to place a new point on the relationship you already trust. The question flips which answer is correct only because it's testing whether you'll actually use the new sentence, or ignore it and just reread the old data.

The mechanism is always the same three steps. Read the rule or trend from the figure first, exactly as given. Read the new fact in the stem second, noting what it changes: a new x-value, a scaling factor, a shift. Then apply the rule to the new fact, the same way you'd apply it to any other point on the graph. If the trend is linear, a midpoint input gives a midpoint output. If the stem says multiply by a factor, you multiply the tabulated value, you don't replace it with something unrelated. If the stem describes a second curve shifted from the first, you read the first curve's feature and shift it.

This sits right next to interpolation and extrapolation because it's really the same skill with one twist: the new x-value or new case comes from text instead of from the axis. It also connects to translating between figures and words, since the stem is doing in sentences what a second data column would do in a table. The new information is always consistent with the figure, never a contradiction of it — your job is to extend the pattern, not second-guess it.

Key terms

Interpolation
Estimating a value that falls between two points you already have data for.
Extrapolation
Extending a trend beyond the range of data actually measured to predict a new point.
Linear trend
A relationship where equal steps in one variable produce equal steps in the other.
Question stem
The sentence or short paragraph that poses the question, sometimes carrying new information not in the figures.

Watch it explained

  1. How it worksHow do you drop a newly supplied value onto a graph you already read and see exactly where it lands?
  2. Worked exampleFind where a new trial at 45 C belongs when earlier trials at 25 C and 35 C gave 4.0 g and 6.5 g.
  3. Going furtherWhat changes when the new information is itself a second complex figure rather than a single number?
  4. Common mistakeWhy isn't fresh information in a question stem ever meant to contradict the figures you were handed?

Check yourself

Your turneasy1 of 3
Trials at 23 degrees C and 44 degrees C gave 39 g and 65 g of product, and the passage states that yield rises linearly with temperature across this range. A question adds that a new trial was run at exactly the temperature midway between 23 and 44 degrees C. What yield, in g, does the trend predict for it?

End of topic.