What a command of evidence question looks like
You get a short passage that states a claim, hypothesis, or finding, often attributed to a researcher or study. The question then asks which of four options, if true, would most support that claim. In the data version, instead of four text quotations you get a table or graph, and the four answer choices describe different numbers or trends drawn from it.
Either way, the passage itself usually does not contain the answer. You are being handed a claim and asked to reason about what kind of evidence would actually back it up, or to read a data set and pick the row or trend that matches the claim stated in the passage.
The rule that decides the answer
Underline or restate the exact claim in your own words before you look at the options. Command of evidence questions are precise: the claim might be about one specific group, one specific time period, or one specific comparison, and an answer choice that supports a nearby but different claim is wrong.
Then treat each option like a yes or no test: does this specific piece of evidence make the specific claim more likely to be true? Throw out anything that is just related to the general topic. Throw out anything that would support a different, similar-sounding claim. What is left is the answer.
The trap most students fall into
The trap is picking the option that is the most interesting or surprising fact about the topic, rather than the fact that actually proves the claim in front of you. Test writers include at least one answer choice that is true, real-sounding, and about the same subject, but that does not logically connect to the specific claim being tested. If the claim is 'the new fertilizer increased crop yield in dry climates,' a true statement about the fertilizer's cost, or about crop yield in general regions, does not support that specific claim even though it is on-topic.
In the data version, the same trap shows up as an answer choice that describes a real number from the table but does not match the direction or the specific comparison the claim requires. If the claim is about a difference between two groups, an answer that only describes one group's number, without the comparison, does not support it.
Worked example
Passage: 'A researcher hypothesized that students who took short breaks every 25 minutes retained more information than students who studied in one long block.' Options describe four different findings from the researcher's study.
First, restate the claim: short breaks every 25 minutes leads to better retention than one long block, specifically compared to studying without breaks. An option saying 'students who took breaks reported enjoying studying more' does not support the claim, because enjoyment is not retention. An option saying 'students in both groups spent the same total number of minutes studying' does not support the claim either, it just controls a variable. An option saying 'students who took breaks scored higher on a retention test one week later than students who studied in one long block' directly supports the claim, because it measures retention and compares the two exact groups named in the hypothesis. That is the answer.
Reading the data version quickly
For a table or graph, first find what the passage's claim predicts should happen in the data, in plain terms like 'group A should be higher than group B' or 'the number should go up over time.' Then scan the table only for the specific rows or columns that test that prediction. Ignore rows that are true but irrelevant to the comparison the claim makes.
StudyPebble's practice set for this skill includes both the text and data versions, with each explanation walking through why the correct choice matches the claim and why the closest wrong choice falls just short of it.