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AP Statistic 

Introducing one variable statistics

Language of variables

Representing Categorical Data

Categorical data with graphs

Quantitative data with graphs

Describing distributions

Comparing distributions

Summary Statistics

Graphical representation

Normal Distribution

Are variables related?

Two categorical variables

Categorical variables statistics

Regression Models

Representing the relationship between two categorical variables

Correlation 

Linear Regression Models

Introducing statistic- do data tell the truth

Introduction to planning an experiment

Sampling Methods

Introduction to experimental design

Sampling potential problems

Selecting an experimental design

Why is my sample different?

Normal Distribution

Central Limit Theorem

Central Limit Theorem

Central Limit Theorem

Biased and unbiased point estimates

Sampling distribution for distribution in proportions

Sampling distribution for difference between means

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