By Fatskills Exam Guides Team — the exam nerds behind 28,500+ quizzes and 2.1M practice questions across 500+ global exams.
Basic probability rules—addition (OR), multiplication (AND), and complement (NOT)—are the foundation for all probability calculations on the AP Stats exam. These rules help determine the likelihood of events in real-world scenarios, such as: - Medical testing: What’s the probability a patient tests positive or has the disease? - Quality control: What’s the chance that both of two randomly selected products are defective? - Sports analytics: What’s the probability a basketball player does not make a free throw?
Mastering these rules is essential for probability distributions, sampling distributions, and inference later in the course.
2nd-VARS-binompdf(n,p,k)
2nd-VARS-binomcdf(n,p,k)
2nd-VARS-normalcdf(lower, upper, ?, ?)
Are the events independent or mutually exclusive?
Check for independence or mutual exclusivity.
Neither? Use the general addition rule or conditional probability.
Write the formula and plug in known values.
Example: If P(A) = 0.3, P(B) = 0.4, and P(A and B) = 0.1, then: P(A or B) = 0.3 + 0.4 – 0.1 = 0.6
Calculate and interpret in context.
Example: "There is a 60% chance that a randomly selected student is either in band or on the honor roll."
If using a complement, rephrase the problem.
What’s Frequently Tested? - FRQs often ask for: - Probability of at least one success (use complement: 1 – P(none)). - Probability of both events occurring (check independence first). - Conditional probability (e.g., "Given that a student is in band, what’s the probability they’re on the honor roll?"). - Multiple-choice traps: - Mutually exclusive vs. independent (events can’t be both unless one has probability 0). - Complement rule (e.g., "What’s the probability not all three light bulbs work?"). - Word problems with "or" vs. "and" (read carefully!).
Calculator Pitfalls: - binomcdf vs. binompdf: Use cdf for P(X-k) and pdf for P(X = k). - Normalcdf: Always check if you need lower bound = -1E99 or upper bound = 1E99 for tail probabilities.
binomcdf
binompdf
cdf
pdf
A fair six-sided die is rolled twice. What is the probability of rolling a 3 on the first roll or a 5 on the second roll? (A) 1/36 (B) 1/12 (C) 1/6 (D) 11/36 (E) 1/3
Answer: (D) 11/36 Explanation: P(3 on first) = 1/6, P(5 on second) = 1/6, P(3 on first and 5 on second) = (1/6)(1/6) = 1/36. So, P(3 on first or 5 on second) = 1/6 + 1/6 – 1/36 = 11/36.
A high school has the following data on student participation in clubs: - 40% of students are in Band. - 30% of students are on the Honor Roll. - 15% of students are in both Band and Honor Roll.
(a) What is the probability that a randomly selected student is in Band or on the Honor Roll? (b) What is the probability that a student is not in Band? (c) Given that a student is on the Honor Roll, what is the probability they are in Band?
Answers: (a) 0.55 (P(Band or Honor Roll) = 0.40 + 0.30 – 0.15 = 0.55) (b) 0.60 (P(not Band) = 1 – 0.40 = 0.60) (c) 0.50 (P(Band | Honor Roll) = P(Band and Honor Roll) / P(Honor Roll) = 0.15 / 0.30 = 0.50)
binompdf(n,p,k)
binomcdf(n,p,k)
normalcdf(lower, upper, ?, ?)
Good luck—you’ve got this! ?
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