AP Statistics priorities to protect every week
A useful plan is course-specific. Whatever else a week contains, keep time for the content and response habits that decide AP Statistics scores.
- Conditions before inference
- Parameter versus statistic language
- Random assignment versus random sampling
- Probability and simulation
- Context-rich conclusions
AP Statistics unit-by-unit response plan
One-Variable Data and Collecting Data
Distributions, sampling, experiments, bias, ethical data collection
Practice recognizing how one-variable data and collecting data can be tested, naming the evidence or method required, and writing a concise response that earns credit.
Probability, Random Variables, and Distributions
Simulation, probability rules, discrete and continuous variables
Practice recognizing how probability, random variables, and distributions can be tested, naming the evidence or method required, and writing a concise response that earns credit.
Inference for Categorical Data: Proportions
Sampling distributions, intervals, and tests for proportions
Practice recognizing how inference for categorical data: proportions can be tested, naming the evidence or method required, and writing a concise response that earns credit.
Inference for Quantitative Data: Means
Intervals and tests for means and paired data
Practice recognizing how inference for quantitative data: means can be tested, naming the evidence or method required, and writing a concise response that earns credit.
Regression Analysis
Two-variable data, linear models, inference for slopes
Practice recognizing how regression analysis can be tested, naming the evidence or method required, and writing a concise response that earns credit.