MI.Math.Content.HSS-CP.A.1
Describe events as subsets of a sample space (the set of outcomes) using characteristics (or [...]
MI.Math.Content.HSS-CP.A.2
Understand that two events A and B are independent if the probability of A and [...]
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 [...]
MI.Math.Content.HSS-CP.A.4
Construct and interpret two-way frequency tables of data when two categories are associated with each [...]
MI.Math.Content.HSS-CP.A.5
Recognize and explain the concepts of conditional probability and independence in everyday language and everyday [...]
MI.Math.Content.HSS-CP.B.6
Find the conditional probability of A given B as the fraction of B’s outcomes that [...]
MI.Math.Content.HSS-CP.B.7
Apply the Addition Rule, P(A or B) = P(A) + P(B) – P(A and B), [...]
MI.Math.Content.HSS-CP.B.8
(+) Apply the general Multiplication Rule in a uniform probability model, P(A and B) = [...]
MI.Math.Content.HSS-CP.B.9
(+) Use the rules of probability to compute probabilities of compound events in a uniform [...]
