AP Statistics Curriculum 2007
From Socr
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* '''Approach''': Models & strategies for solving the problem, data understanding & inference. | * '''Approach''': Models & strategies for solving the problem, data understanding & inference. | ||
* '''Model Validation''': Checking/affirming underlying assumptions. | * '''Model Validation''': Checking/affirming underlying assumptions. | ||
- | * '''Computational Resources''': Internet-based SOCR Tools (offline resources, e.g., tables). | + | * '''Computational Resources''': Internet-based SOCR Tools (including offline resources, e.g., tables). |
* '''Examples''': computer simulations and real observed data. | * '''Examples''': computer simulations and real observed data. | ||
* '''Hands-on activities''': Step-by-step practice problems. | * '''Hands-on activities''': Step-by-step practice problems. |
Revision as of 21:08, 13 June 2007
This is an Outline of a General Advance-Placement (AP) Statistics Curriculum
Outline
Each topic discussed in the SOCR AP Curricumum should contain the following subsections:
- Motivation/Problem: A real data set and fundamental challenge.
- Approach: Models & strategies for solving the problem, data understanding & inference.
- Model Validation: Checking/affirming underlying assumptions.
- Computational Resources: Internet-based SOCR Tools (including offline resources, e.g., tables).
- Examples: computer simulations and real observed data.
- Hands-on activities: Step-by-step practice problems.