# Difference between revisions of "AP Statistics Curriculum 2007"

(→Outline) |
|||

Line 4: | Line 4: | ||

Each topic discussed in the SOCR AP Curricumum should contain the following subsections: | Each topic discussed in the SOCR AP Curricumum should contain the following subsections: | ||

* '''Motivation/Problem''': A real data set and fundamental challenge. | * '''Motivation/Problem''': A real data set and fundamental challenge. | ||

− | * '''Approach''': | + | * '''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 (offline resources, e.g., tables). |

## Revision as of 11:58, 12 June 2007

## Contents

- 1 This is an Outline of a General Advance-Placement (AP) Statistics Curriculum
- 1.1 Outline
- 1.2 Introduction to Statistics
- 1.3 Describing, Exploring, and Comparing Data
- 1.4 Probability
- 1.5 Probability Distributions
- 1.6 Normal Probability Distributions
- 1.7 Relations Between Distributions
- 1.8 =Law of Large Numbers
- 1.9 Estimates and Sample Sizes
- 1.10 Hypothesis Testing
- 1.11 Inferences from Two Samples
- 1.12 Correlation and Regression
- 1.13 Multinomial Experiments and Contingency Tables
- 1.14 Statistical Process Control

## 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 (offline resources, e.g., tables).**Examples**: computer simulations and real observed data.**Hands-on activities**: Step-by-step practice problems.