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Probability & Conditional Probability for the SAT: Complete Study Guide + Free Practice Problems

Probability & Conditional Probability for the SAT: Complete Study Guide + Free Practice Problems | The School of Mathematics
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Probability & Conditional Probability for the SAT: Complete Study Guide + Free Practice Problems

Everything the SAT tests about probability in one place: basic probability, two-way tables, conditional probability, independent vs. dependent events, and the and/or rules — with step-by-step examples, worked problems, and a free practice quiz.

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Probability & Conditional Probability

Basic probability, two-way tables, conditional probability, and independent/dependent events.

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1. Foundations

What is probability?

Probability measures how likely an event is to happen, expressed as a number between 0 and 1 (or equivalently, 0% to 100%). A probability of 0 means an event is impossible; a probability of 1 means it's certain.

Tip

The SAT's probability questions almost always come from a specific, countable group — a table of survey results, a bag of marbles, a deck of cards. Identify the total group and the group of interest before doing any calculation.

2. The core calculation

The basic probability formula

P(event) = (number of favorable outcomes) / (total number of possible outcomes)
Worked exampleBasic probability

A bag contains 5 red marbles, 3 blue marbles, and 2 green marbles. What is the probability of drawing a blue marble?

Total5 + 3 + 2 = 10 marbles
Favorable3 blue marbles
P(blue) = 3/10
3. Organizing categorical data

Two-way tables

A two-way table organizes data by two categories at once — for example, gender and favorite subject. Most SAT conditional probability questions are built directly from a two-way table.

Prefers MathPrefers ScienceTotal
Freshmen403575
Sophomores304575
Total7080150
Worked exampleBasic probability from a two-way table

Using the table above, what is the probability that a randomly selected student is a freshman?

Favorable75 freshmen
Total150 students
P(freshman) = 75/150 = 1/2
Practice basic probability and reading two-way tables. Try the quiz →
4. Probability with a restriction

Conditional probability

Conditional probability asks for the probability of an event given that another condition is already known to be true. The key move is to shrink your total from the whole group down to only the group that satisfies the condition.

P(A given B) = (outcomes satisfying both A and B) / (outcomes satisfying B)
Worked exampleConditional probability from a two-way table

Using the table above, what is the probability a randomly selected student prefers Math, given that the student is a sophomore?

Restrict to conditiononly sophomores → total = 75
Favorable within groupsophomores who prefer Math = 30
P(Math | sophomore) = 30/75 = 2/5
Common trap

The most common conditional probability error is dividing by the grand total instead of the restricted total. Once you see the word "given," your denominator must become the size of the given group only — never the full table total.

5. Do the events affect each other?

Independent vs. dependent events

Independent events

The outcome of one event has no effect on the other. Example: flipping a coin twice.

Dependent events

The outcome of one event changes the probability of the other. Example: drawing two cards without replacement.

Tip

A fast test for independence using a two-way table: if P(A given B) equals the plain P(A), the events are independent. If those two values differ, the events are dependent.

6. Combining events

The "and" & "or" rules

RuleFormulaWhen to use
"And" (independent)P(A and B) = P(A) · P(B)Both events must happen, and they don't affect each other
"Or" (mutually exclusive)P(A or B) = P(A) + P(B)Either event happens, and they can't happen at the same time
Worked example"And" rule with independent events

A fair coin is flipped, and a fair six-sided die is rolled. What is the probability of getting heads AND rolling a 4?

P(heads)1/2
P(rolling a 4)1/6
Multiply1/2 · 1/6
P = 1/12
Common trap

The simple "or" formula (adding probabilities) only works when the two events are mutually exclusive — they cannot both happen at once. If the events can overlap, you must subtract the overlap: P(A or B) = P(A) + P(B) − P(A and B).

7. Watch for these

Common SAT traps

  • Wrong denominator in conditional probability: always shrink the total to the given condition, not the full data set.
  • Assuming independence without checking: confirm two events are actually independent before multiplying their probabilities.
  • Double-counting overlap in "or" problems: subtract the "and" probability when events aren't mutually exclusive.
  • Misreading two-way table row/column totals: double-check whether a question is asking about a row total, a column total, or the grand total.
8. Test day

Test day strategy for probability

Question signalFastest approach
Basic probability from a groupFavorable outcomes over total outcomes
"Given that ___" languageRestrict your denominator to only the given condition
Two independent events, both must happenMultiply the two individual probabilities
Either of two mutually exclusive eventsAdd the two individual probabilities
Events that could overlapAdd the probabilities, then subtract the overlap
Two-way table givenIdentify exactly which row, column, or cell the question refers to before dividing

Now put it to work

One comprehensive quiz covering the full topic, from basic probability through conditional probability and independent events.

Full topic quiz

Probability & Conditional Probability

Basic probability, two-way tables, conditional probability, and independent/dependent events.

Start quiz →
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