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Stage 1 Desired Results

UNIT 1: Probability

Pacing: 4 weeks

Stage 1 Desired Results

Established Goals:

  • CP.A.1: Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events (“or,” “and,” “not”). 

  • CP.A.2: Understand that two events A and B are independent if the probability of A and B occurring together is the product of their probabilities, and use the characterization to determine if they are independent. 

  • CP.A.3: Understand the conditional probability of A given B as P(A and B)/P(B), and interpret independence of A and B as saying that the conditional probability of A given B is the same as the probability of A, and the conditional probability of B given A is the same as the probability of B.

  • CP.A.4: 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. 

  • CP.A.5: Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations. 

  • CP.B.6: Find the conditional probability of A given B as the fraction of B's outcomes that also belong to A, and interpret the answer in terms of the model. 

  • CP.B.7: Apply the Addition Rule, P(A or B) = P(A) + P(B) - P(A and B), and interpret the answer in terms of the model. 

  • CP.B.8: (+) Apply the general Multiplication Rule in a uniform probability model, P(A and B) = P(A)P(B|A) = P(B)P(A|B), and interpret the answer in terms of the model. 

  • CP.B.9 (+) Use permutations and combinations to compute probabilities of compound events and solve problems.

Transfer

Students will be able to independently use their learning to….

  • Apply concepts of probability to problems related to the real world (i.e. business, sports/gaming, etc).

Meaning

Understandings

Students will understand…

  • Probability describes the likelihood an event will occur. 

  • The complement of event A consists of all outcomes in which event A does not occur.

  • Two events, A and B are independent if the occurrence of one does not affect the probability of the occurrence of the other.  If A and B are not independent, then they are said to be dependent.

  • Events A and B are mutually exclusive if they cannot occur simultaneously. 

  • A probability is a number between 0 and 1 inclusively.

  • Combinations and permutations can be used in the calculation of a statistical probability. 

  • How to calculate conditional probability.

Essential Questions

Students will keep considering…

  • How is probability used in everyday life?

  • How are events defined and what are examples of each?

Acquisition

Students will know…

  • The basic definition and rules of probability. 

  • The difference between odds and probability.

  • How and when to apply the Addition Rule. 

  • How and when to apply the Multiplication Rule. 

  • How to use the Complement Rule to make calculating probabilities simpler. 

  • How to use combinations and permutations to calculate probabilities. 

  • Probabilities have a direct relationship to the gaming and sports industries.

  • Probabilities are used to influence actions in various other industries such as manufacturing, construction and retail marketing.

Students will be skilled at…

  • Calculating simple probabilities, including complements of events. 

  • Calculating the odds in favor and against an event. 

  • Calculating conditional probabilities. 

  • Differentiating between independent and dependent events. 

  • Differentiating between mutually exclusive and overlapping events. 

  • Understanding and applying basic concepts of probability.

  • Recognizing and calculating probabilities using combinations and permutations.