AP Statistics / Probability, Random Variables, and Probability Distributions
Lesson
Probability rules that stay honest
Add, multiply, and condition without double-counting or assuming independence.
Learning goals
- Apply the addition and multiplication rules with the right conditions.
- Interpret a conditional probability as a restricted sample space.
Explanation
If two events cannot happen together, add their probabilities. If they can overlap, subtract the shared piece so you do not count it twice. Independence is a different question: knowing one event happened does not change the chance of the other.
Conditional probability zooms in. You keep only the outcomes that satisfy the given information, then ask what fraction of those also satisfy the second event. A two-way table or tree diagram keeps the restriction visible.
Key terms
- Independent events. Events for which knowing one occurred does not change the probability of the other.
- Conditional probability. The probability of an event given that another event has already occurred.
Common mistakes
- Treating mutually exclusive events as independent.
- Adding probabilities that share outcomes without subtracting the overlap.
Practice
Original Marlow Works items. Check the answer explanation after you try.
A fair spinner has four equal sectors labeled A, B, C, and D. What is P(A or B)? Show brief reasoning.
Original Marlow Works item — not a College Board question.
Take your time—this is practice, not a test.
Answer explanation
A card is drawn from a standard deck. Are “heart” and “ace” independent? Explain with numbers.
Answer. Yes. P(ace) = 4/52 and P(ace | heart) = 1/13, which is the same value.
The chance of an ace does not change when you learn the suit is hearts.
Related resources
External links with reuse status. Marlow Works is independent and does not copy restricted exam or textbook material.
Official / link only
AP Statistics course page
Official revised 2026–27 five-unit framework.
College Board · All rights reserved · accessed 2026-10-01
Open sourceCC BY — attribution required
Collaborative Statistics
Open statistics text for distributions, probability, and inference.
Open Textbook Library listing · CC BY · accessed 2026-10-01
Open source