Independent & Dependent Events
For a sequence of events joined by "and", you multiply — but which numbers you multiply depends on whether the events are independent or dependent. Events are independent when the first does not change the second: coin tosses, dice rolls, or drawing with replacement. Then P(A and B) = P(A) × P(B). Events are dependent when the first alters the sample space for the second — the signature case is drawing without replacement, where the count and total both drop. Then P(A then B) = P(A) × P(B given A). Deciding "with or without replacement" is the whole game: two aces drawn with replacement is (4/52)(4/52), but without replacement it is (4/52)(3/51), because one ace is gone and the deck now has 51 cards. The GRE almost always means "without replacement" when it says the items are not put back — read that clause carefully, because it silently changes every number after the first draw.
✅ 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) |