# Statistics and Probability: Conditional Probability and the Rules of Probability Archive

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• ### MI.Math.Content.HSS-CP.A.1

Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes,…

• ### MI.Math.Content.HSS-CP.A.2

Understand that two events A and B are independent if the probability of A and B occurring together is…

• ### MI.Math.Content.HSS-CP.A.3

Understand the conditional probability of A given B as P(A and B)/P(B), and interpret independence of A and B…

• ### MI.Math.Content.HSS-CP.A.4

Construct and interpret two-way frequency tables of data when two categories are associated with each object being classified. Use…

• ### MI.Math.Content.HSS-CP.A.5

Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations. For example, compare…

• ### MI.Math.Content.HSS-CP.B.6

Find the conditional probability of A given B as the fraction of B’s outcomes that also belong to A,…

• ### MI.Math.Content.HSS-CP.B.7

Apply the Addition Rule, P(A or B) = P(A) + P(B) – P(A and B), and interpret the answer…

• ### MI.Math.Content.HSS-CP.B.8

(+) Apply the general Multiplication Rule in a uniform probability model, P(A and B) = x =x, and interpret…