A comprehensive review to prepare for the AP Statistics exam
This course covers all key topics from the AP Statistics curriculum framework, with emphasis based on their exam weightings.
Learn moreThis comprehensive review course is designed to help AP Statistics students prepare for the AP exam. The course is structured as an 8-day review, with each day focusing on key topics from the AP Statistics curriculum framework.
Descriptive statistics, measures of center and spread, graphical representations
Basic probability concepts, conditional probability, random variables
Sampling methods, experimental design, Central Limit Theorem
t-distributions, confidence intervals, hypothesis testing for means
Confidence intervals, hypothesis testing for proportions
Correlation, linear regression models, residual analysis
Chi-square goodness of fit, homogeneity, and independence tests
Integration of concepts, exam strategies, practice exams
Follow this 8-day review plan to maximize your AP Statistics exam score.
Try this sample question:
Which measure of center is most appropriate for a skewed distribution?
The TI-84 calculator is an essential tool for the AP Statistics exam. Practice your calculator skills with this interactive simulation:
For comprehensive calculator instructions, visit our Calculator Guide.
The AP Statistics exam is approaching. Make the most of your remaining study time with our 8-day review plan.
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Follow our day-by-day review plan to ensure you cover all essential topics before the exam.
View Exam StrategiesThis review course is aligned with the College Board AP Statistics curriculum framework. The course covers all nine units of the AP Statistics curriculum, with emphasis placed on topics according to their weight on the AP exam.
Selecting methods for collecting or analyzing data for statistical inference.
Describing patterns, trends, associations, and relationships in data.
Using probability and simulation to describe probability distributions and define events.
Developing an explanation or justification using statistical evidence.