Two ideas carry almost all the weight in this part of the test, and neither of them is arithmetic.
The first is the denominator. A probability is always a share of some group, and the question always names that group — "chosen at random from the whole survey", "chosen from among those under thirty", "chosen from the drama club". Five questions here work on nothing else. Two are built from a two-way breakdown written out in a sentence and carry a wrong option produced by using the whole total where only part of it applied; three are simple probabilities from one total, including one solved with the complement rule. That wrong option is never nonsense: it is the correct answer to a different, clearly stated question, and the explanations say which one, because seeing what you did answer is the fastest way to notice what you were asked.
The second is what a study is allowed to claim, and it comes in two halves that are constantly confused. Random SELECTION — taking your people at random from a population — is what lets a result travel back to that population. Random ASSIGNMENT — splitting the people you have into groups at random — is what lets a difference be called a cause, because it makes the groups alike in everything except the one thing you changed. A study can have both, either, or neither, and each buys only its own kind of conclusion.
The set makes that concrete. One study assigns at random but takes its people from a single gym, so its causal claim is sound while its reach stops at people like those volunteers. Another surveys one private school in a wealthy neighborhood and announces a figure for a whole state, which fails not because a hundred people is too few — it is plenty for estimating a percentage — but because those hundred resemble one school and nowhere else.
Two questions concern a margin of error, and both carry the misreading that matters: treating an interval around a group's percentage as though it described every individual, or as though it described the sample itself. Within the sample the figure is known exactly; the margin is about everyone who was not asked.
Every study, school, town, company and researcher here is invented, no finding is attributed to any real organization, and nothing is drawn from any official publication.
Written for this catalog, with no source document. The content is the probability and inference material named in the College Board's own public description of the Problem-Solving and Data Analysis domain — probability and conditional probability from two-way data, inference from sample statistics, margin of error, and evaluating statistical claims; every question, option and explanation here is original, and nothing is reproduced from any official publication or released test. Note that the digital test normally presents two-way data as a table on screen, which a text-only bank cannot reproduce: every breakdown here is written out in a sentence with all its counts named. Zestly is an independent study tool. It is not affiliated with the College Board, which owns the SAT, and it is not an test center.
In a study of 150 students, 60 are in the drama club and 90 are not. Among the drama club members, 40 like jazz. Among those not in the club, 30 like jazz. If one student is chosen at random from the drama club, what is the probability that this student likes jazz?
$2/3$
The student is chosen from the drama club, so the denominator is the club's 60 members, not the study's 150 students. Forty of the 60 like jazz, giving $40/60$, which is $2/3$. The fraction $4/15$ keeps the 40 and uses 150 below it, answering the different question of what share of ALL students are jazz-liking club members. The fraction $7/15$ uses the 70 students who like jazz across both groups over the whole 150, which ignores the restriction to the club. And $1/3$ is the share of club members who do NOT like jazz, the complement of the answer.
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