Introduction
AP Statistics combines mathematical concepts with real-world applications. This guide helps you master statistical thinking and analysis techniques.
Exploratory Data Analysis
- Graphical Displays: Histograms, boxplots, scatterplots
- Summary Statistics: Measures of center and spread
- Data Relationships: Correlation and regression
Probability and Sampling
- Probability Rules: Addition and multiplication principles
- Random Variables: Discrete and continuous distributions
- Sampling Methods: Simple random and stratified sampling
Statistical Inference
- Confidence Intervals: Margin of error calculations
- Hypothesis Testing: Test statistics and p-values
- Chi-Square Tests: Independence and goodness of fit
Conclusion
Understanding statistics is crucial for data-driven decision making. Apply these concepts through real-world examples and practice problems.