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Math

Missouri Math

Geometry: Conditional Probability and Rules of Probability

G.CP.A

Understand independence and conditional probability and use them to interpret data.

G.CP.A.1

Fully covered
Describe events as subsets of a sample space using characteristics of the outcomes, or as unions, intersections or complements of other events.

G.CP.A.2

Fully covered
Understand the definition of independent events and use it to solve problems.

G.CP.A.3

Fully covered
Calculate conditional probabilities of events.

G.CP.A.4

Fully covered
Construct and interpret two-way frequency tables of data when two categories are associated with each object being classified. Use the two-way table as a sample space to decide if events are independent and to approximate conditional probabilities.

G.CP.A.5

Fully covered
Recognize and explain the concepts of conditional probability and independence in a context.

G.CP.A.6

Fully covered
Apply and interpret the Addition Rule for calculating probabilities.

G.CP.A.7

Fully covered
Apply and Interpret the general Multiplication Rule in a uniform probability model.

G.CP.A.8

Not covered
Use permutations and combinations to solve problems.
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