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Description:

This is a task from the Illustrative Mathematics website that is one part of a complete illustration of the standard to which it is aligned. Each task has at least one solution and some commentary that addresses important asects of the task and its potential use. Here are the first few lines of the commentary for this task: On April 15, 1912, the Titanic struck an iceberg and rapidly sank with only 710 of her 2,204 passengers and crew surviving. Some believe that the rescu...

Subjects:

• Mathematics > General
• Education > General

Keywords:

Informal Education,NSDL,NSDL_SetSpec_ncs-NSDL-COLLECTION-000-003-112-103,High School,Vocational/Professional Development Education,Mathematics,oai:nsdl.org:2200/20130211105403284T,Education

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Update Standards?

CCSS.Math.Content.HSS-CP.A.2: Common Core State Standards for Mathematics

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 this characterization to determine if they are independent.

CCSS.Math.Content.HSS-CP.A.3: Common Core State Standards for Mathematics

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.

CCSS.Math.Content.HSS-CP.A.4: Common Core State Standards for Mathematics

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.

CCSS.Math.Content.HSS-CP.A.5: Common Core State Standards for Mathematics

Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations.

CCSS.Math.Content.HSS-CP.B.6: Common Core State Standards for Mathematics

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.
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