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Unit Details

​​​​​​​​​​​​​​​​​​​​​​​​Instructions: Rockwood unit details share the timeline, the enduring understanding and the essential questions for each unit.  Click on the standard title to be directed to the information on related standards for the unit.​

 Unit Details

Unit Title
Probability
Unit Number
GEOM12
Course
Geometry
Content Area
Math
Description
Students will use conditional probability, represent sample space, use permutations and combinations,
and find probabilities of compound events.
Timeline
2 Week(s)
Enduring Understandings
Data are collected for a purpose and have meaning in a context.
Two events, A and B, are independent if the occurrence of one does not affect the probability of the occurrence of the other.
The probability of one event can be affected by the occurrence of another event.
The probability formulas for union and intersection are different.


Essential Questions
What is a sample space and how do you represent it?
How can a two-way frequency table be used to interpret data?
When do you use the Addition Rule versus the Multiplication Rule?
What does it mean to be independent and dependent?


Additional Unit Resources

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Standard
Standard Component
  
Solve problems involving adding and subtracting fractions and  mixed numbers with like denominators.
  
 Understand the definition of independent events and use it to solve problems.
  
Use permutations and combinations to solve problems.
  
  
Standard
Standard Component
  
Describe events as subsets of a sample space using characteristics of the outcomes, or as unions, intersections or complements of other events.
  
Calculate conditional probabilities of events.
  
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.
ECO
  
Recognize and explain the concepts of conditional probability and independence in a context.
  
 Apply and interpret the Addition Rule for calculating probabilities.
  
 Apply and Interpret the general Multiplication Rule in a uniform probability model.