# Difference between revisions of "AP Statistics Curriculum 2007"

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## This is an Outline of a General Advance-Placement (AP) Statistics Curriculum

### Outline

This is an Internet-based E-Book for advance-placement (AP) statistics educational curriculum. The e-book is initially developed by the UCLA Statistics Online Computational Resource (SOCR), however, any statistics instructor, researcher or educator is encouraged to contribute to this effort and improve the content of these learning materials.

Every 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.

### Introduction to Statistics

#### The Nature of Data & Variation

No mater how controlled the environment, the protocol or the design, virtually any repeated measurement, observation, experiment, trial, study or survey is bound to generate data that varies because of intrinsic (internal to the system) or extrinsic (due to the ambient environment) effects.

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### Statistical Process Control

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#### Control Charts for Attributes

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