MI.Math.Content.HSS-CP.A.1
Learn moreDescribe 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
Learn moreUnderstand 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
Learn moreUnderstand 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
Learn moreConstruct 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
Learn moreRecognize 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
Learn moreFind 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
Learn moreApply 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
Learn more(+) Apply the general Multiplication Rule in a uniform probability model, P(A and B) = x =x, and interpret…
