### 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…