Difference between revisions of "AP Statistics Curriculum 2007"

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===Introduction to Statistics===
===Introduction to Statistics===
====The Nature of Data====  
====The Nature of Data & Variation====  
====Uses and Abuses of Statistics ====
====Uses and Abuses of Statistics ====
====Design of Experiments ====
====Design of Experiments ====

Revision as of 11:44, 12 June 2007


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

Introduction to Statistics

The Nature of Data & Variation

Uses and Abuses of Statistics

Design of Experiments

Statistics with Calculators and Computers

Describing, Exploring, and Comparing Data

Summarizing data with Frequency Tables

Pictures of Data

Measures of Central Tendency

Measures of Variation

Measures of Position

Exploratory Data Analysis



Addition Rule

Multiplication Rule

Probabilities through Simulations


Probability Distributions

Random Variables

Bernoulli & Binomial Experiments

Geometric, HyperGeometric & Negative Binomial

Mean, Variance, and Standard Deviation for the Binomial Distribution

Poisson Distribution

Normal Probability Distributions

The Standard Normal Distribution

Nonstandard Normal Distribution: Finding Probabilities

Nonstandard Normal Distributions: Finding Scores

Relations Between Distributions

The Central Limit Theorem

=Law of Large Numbers

Normal Distribution as Approximation to Binomial Distribution

Poisson Approximation to Binomial Distribution

Binomial Approximation to HyperGeometric

Normal Approximation to Poisson

Estimates and Sample Sizes

Estimating a Population Mean: Large Samples

Estimating a Population Mean: Small Samples

Estimating a Population Proportion

Estimating a Population Variance

Hypothesis Testing

Fundamentals of Hypothesis Testing

Testing a Claim about a Mean: Large Samples

Testing a Claim about a Mean: Small Samples

Testing a Claim about a Proportion

Testing a Claim about a Standard Deviation or Variance

Inferences from Two Samples

Inferences about Two Means: Dependent Samples

Inferences about Two Means: Independent and Large Samples

Comparing Two Variances

Inferences about Two Means: Independent and Small Samples

Inferences about Two Proportions

Correlation and Regression



Variation and Prediction Intervals

Multiple Regression

Multinomial Experiments and Contingency Tables

Multinomial Experiments: Goodness-of-Fit

Contingency Tables: Independence and Homogeneity

Statistical Process Control

Control Charts for Variation and Mean

Control Charts for Attributes