Complementary Events
The complement of an event E is "E does not happen", and their probabilities always sum to 1, so P(not E) = 1 − P(E). This tiny rule is one of the most powerful shortcuts on the GRE, because many questions are far easier to answer through the back door. The flagship case is "at least one": rather than adding the messy probabilities of exactly one, exactly two, and so on, compute P(at least one) = 1 − P(none). The probability of at least one head in 4 coin tosses is 1 − (1/2)⁴ = 1 − 1/16 = 15/16 — one line instead of four. The same move rescues "at least one defective", "at least one match", and "at least one success" problems across the test. Whenever you see "at least", train yourself to reach for the complement first; the direct count is almost always the slower, error-prone path.
✅ Solved examples
✏️ Practice — try these, take hints as needed
📝 Topic test — 8 questions
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Formula Reference Sheet
Core probability
| Basic probability | P(E) = favourable outcomes / total equally-likely outcomes |
|---|---|
| Range of a probability | 0 ≤ P(E) ≤ 1 |
| Complement | P(not E) = 1 − P(E) |
| Independent "and" | P(A and B) = P(A) × P(B) |
Combining events
| General "or" | P(A or B) = P(A) + P(B) − P(A and B) |
|---|---|
| Mutually exclusive "or" | P(A or B) = P(A) + P(B) (no overlap) |
| Dependent "and" | P(A then B) = P(A) × P(B given A) |
| "At least one" | P(at least one) = 1 − P(none) |