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Statistics · AP · Test Prep

AP Statistics Unit 4: Probability and Random Variables

Probability rules, conditional probability, binomial and geometric distributions, expected value and sampling distributions.

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40 basic cards for AP Statistics. Set 2 of 5 in AP Statistics. It opens with "What is the addition rule of probability?" and "When are two events mutually exclusive?". Study it alongside the other AP sets below.

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What is the addition rule of probability?
Show answerP(A or B) = P(A) + P(B) - P(A and B)
When are two events mutually exclusive?
Show answerWhen they cannot occur at the same time; P(A and B) = 0
What is the multiplication rule for independent events?
Show answerP(A and B) = P(A) × P(B)
What does the complement rule state?
Show answerP(not A) = 1 - P(A)
Define conditional probability P(A|B).
Show answerThe probability of event A occurring given that event B has already occurred
What is the formula for conditional probability?
Show answerP(A|B) = P(A and B) / P(B)
When are two events independent?
Show answerWhen the occurrence of one does not affect the probability of the other; P(A|B) = P(A)
What is Bayes' theorem used for?
Show answerFinding the probability of a cause given an observed effect, or updating probability based on new information
List the four requirements for a binomial setting.
Show answerFixed number of trials, two outcomes per trial, constant probability of success, independent trials
What is the formula for binomial probability?
Show answerP(X = k) = C(n,k) × p^k × (1-p)^(n-k)
What is the mean of a binomial distribution?
Show answerμ = n × p
What is the standard deviation of a binomial distribution?
Show answerσ = sqrt(n × p × (1-p))
What does a geometric distribution model?
Show answerThe number of trials needed to get the first success
What are the requirements for a geometric setting?
Show answerTwo outcomes per trial, constant probability of success, independent trials, counting trials until first success
What is the formula for geometric probability?
Show answerP(X = k) = (1-p)^(k-1) × p

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