AP Statistics review and study guide
A focused AP Statistics review covers the big ideas, a reliable routine for inference, and plenty of practice explaining answers in context.
On this page
- The big ideas to review
- A routine for every inference question
- Free-response tips
- A plan for the final month
- A topic-by-topic review checklist
- A free-response question, answered
- Practice questions
- Frequently asked questions
- Key takeaways
- Where to go next
- How to use practice exams well
- The investigative task
- Calculator fluency
- The night before
- More practice
- One more worked example: expected value
- More questions students ask
- Quick check
- Study tip
- A final word
The big ideas to review
- Variation: data vary, and statistics vary from sample to sample.
- Patterns and uncertainty: describing distributions and relationships.
- Data collection: what a study's design lets you conclude.
- Inference: using samples to make claims about populations, with stated uncertainty.
A routine for every inference question
- State: the parameter and the hypotheses or the confidence level, in context.
- Plan: name the procedure and check the conditions.
- Do: calculate the test statistic and p-value, or the interval.
- Conclude: answer the question in context.
Free-response tips
- Answer exactly what is asked, using the words from the question.
- Show your method: name procedures and formulas, not just calculator output.
- Keep conclusions linked to the p-value and the significance level.
- For the longer investigative task, read every part first; later parts often build on earlier ones.
A plan for the final month
- Week 1: exploring data, regression and study design.
- Week 2: probability, random variables and sampling distributions.
- Week 3: all inference procedures, side by side.
- Week 4: full timed practice exams and targeted review.
Use the official practice materials and scoring guidelines on AP Central, and keep our formula sheet guide open while you practise.
A topic-by-topic review checklist
Exploring data
- Describe a distribution with shape, centre, spread and outliers, in context.
- Compare two distributions using comparative language, such as "greater than" or "about the same as".
- Interpret slope, intercept, r and r² for a regression line, and use residual plots to judge whether a linear model fits.
Collecting data
- Name sampling methods and sources of bias.
- Explain why random assignment allows causal conclusions and random sampling allows generalisation.
- Identify confounding variables and the purpose of blocking.
Probability
- Use the addition and multiplication rules, two-way tables and tree diagrams.
- Calculate expected value and standard deviation of random variables.
- Recognise binomial and geometric settings.
Inference
- Choose the right procedure, check its conditions and interpret results in context.
- Interpret a confidence level and a p-value correctly.
- Explain Type I and Type II errors and power in context.
A free-response question, answered
Question: A random sample of 50 batteries has mean life 102 hours and standard deviation 10 hours. Is there evidence the mean life exceeds 100 hours?
- State: μ = true mean battery life. H0: μ = 100; Ha: μ > 100; α = 0.05.
- Plan: one-sample t test. Random sample; 50 batteries is less than 10% of all batteries; n = 50 is large enough for the central limit theorem.
- Do: t = (102 − 100)/(10/√50) ≈ 1.41, with 49 degrees of freedom; p-value ≈ 0.08.
- Conclude: Because 0.08 > 0.05, we fail to reject H0. There is not convincing evidence that the mean battery life exceeds 100 hours.
Practice questions
Try each one before opening the answer.
Q1. r = −0.85 between hours of TV and exam score. Describe the relationship.
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Q2. r² = 0.64 for a regression of weight on height. Interpret it.
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Q3. Describe a Type II error for H0: the new drug is no better than the old one.
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Frequently asked questions
What are the most common free-response question types?
Exploring data, study design, probability, inference and a longer investigative task that combines ideas.
How do I improve my communication?
Copy the structure of top-scoring answers from released scoring guidelines, and always end with a sentence in context.
Key takeaways
- Review by big idea: exploring data, collecting data, probability, inference.
- Use the four-step routine for every inference question.
- Interpret confidence levels, p-values and errors carefully.
- Practise the investigative task under timed conditions.
- Mark practice answers with official scoring guidelines.
Where to go next
Use these guides alongside your review.
- AP Statistics formula sheet, explained
- Hypothesis testing, step by step
- AP Statistics units, explained
How to use practice exams well
A practice exam is only useful if you learn from it. After each one, sort every lost point into one of three groups: a concept you did not understand, a procedure you chose wrongly, or a communication slip, such as a missing context sentence. Each group needs a different fix. Concepts need re-learning, procedure choice needs mixed practice, and communication needs comparing your wording with scoring guidelines.
The investigative task
One free-response question is longer and asks you to apply ideas to an unfamiliar situation. It often combines several units, for example a probability calculation feeding into a simulation, or a new statistic you have not seen before. Read every part first, notice how they build on each other, and do not panic if the setting is new: the underlying skills are the same ones you have practised all year.
Calculator fluency
Know how to enter data in lists, get one- and two-variable statistics, find normal and binomial probabilities, and run each inference procedure. Then practise writing the results by hand: name the procedure, give the test statistic, degrees of freedom where relevant, and the p-value or interval.
The night before
- Re-read your one-page summaries of conditions for each procedure.
- Check your calculator's batteries and mode settings.
- Get a full night's sleep. Careful reading is worth more than last-minute cramming.
More practice
Try each one before opening the answer.
Q1. A 90% confidence interval is wider or narrower than a 95% interval from the same data?
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One more worked example: expected value
A game costs $2 to play. You win $10 with probability 0.1 and nothing otherwise. What is your expected gain per game?
- Net outcomes: +$8 with probability 0.1, and −$2 with probability 0.9.
- Expected value = 8 × 0.1 + (−2) × 0.9 = 0.8 − 1.8 = −$1.00.
- On average you lose $1 per game in the long run, even though you sometimes win.
More questions students ask
Should I memorise the formula sheet?
No, you get it in the exam. Know what each formula means and when to use it.
Quick check
What is the difference between a statistic and a parameter?
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Name the procedure for testing whether a die is fair.
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Study tip
Keep a list of the exact phrases from scoring guidelines that earned full credit, and reuse them in your own answers.
A final word
Review is most effective when it is active. Rather than rereading notes, answer questions, mark them honestly and fix every mistake. A few weeks of this steady routine usually improves scores far more than long last-minute sessions. Keep your sessions short, regular and focused on your weakest topics, and track your progress.