AP Statistics · Unit 2 · Topic 2.3

Estimating Probabilities Using Simulation Study Lab

A simulation imitates a chance process with random numbers so you can estimate a probability that is hard to calculate. Pick a scenario, run trials one at a time or a thousand at once, and watch the relative frequency settle down. That is the law of large numbers at work.

1. Run a simulation

Choose a scenario, set its chance, and run trials. Each trial uses random numbers just as you would with a random digit table or a calculator.

Estimated probability = trials where the event happened ÷ total trials
Scenarios

Changing this resets the trials.
Last trial
No trials yet.

Running relative frequency dashed line = true probability

Trials
0
Event happened
0
Simulated probability
n/a
True probability

Results of every trial event outcomes in orange

Describe the simulation

    2. Key ideas

    Random process

    Unpredictable in the short run

    A random process has outcomes we cannot predict for any single trial, but the outcomes show a regular pattern over many trials.

    Probability

    Long-run relative frequency

    The probability of an event is the proportion of times it would happen in a very long series of repetitions of the random process.

    Law of large numbers

    More trials, better estimate

    As the number of trials grows, the simulated relative frequency gets closer to the true probability. It does not mean outcomes "even out" in the short run.

    Design

    Four steps

    (1) Assign random numbers to outcomes so the chances match. (2) Describe one trial. (3) Say what you record. (4) Repeat many times and divide.

    Random digits

    Make the chances match

    For a 70% chance, use 70 of the 100 two-digit numbers (00–69) for "success." Each number must be equally likely, so 1-digit labels give 10% steps.

    Replacement

    Repeats allowed?

    If each outcome is independent (free throws, dice), repeated digits are fine. If you are choosing different people, skip repeated labels so no one is picked twice.

    3. Setting up simulations

    How to assign random numbers for common situations.

    SituationAssignOne trialRecord
    A 30% chance of rain each day for a weekDigits 0–2 = rain, 3–9 = no rainRead 7 digitsWhether it rains on at least 3 days
    A 72% free-throw shooter takes 10 shots00–71 = make, 72–99 = missRead 10 two-digit numbersNumber of makes
    Choose 4 students from a class of 25 (8 are seniors)Label students 01–25; 01–08 = seniorsRead two-digit numbers, skip 00, 26–99, and repeats, until 4 are chosenNumber of seniors chosen
    6 equally likely prizes in cereal boxesDigits 1–6 = the prizes; skip 0, 7, 8, 9Read digits until all 6 prizes appearNumber of boxes bought
    Roll a fair dieCalculator: randInt(1, 6)One call per rollThe face showing

    4. On the FRQ

    How to earn the points

    • Say exactly which numbers stand for which outcomes, and check that the chances match: "Let 00–69 represent a made shot (70%)."
    • Say whether repeats are allowed or skipped, and which numbers you ignore.
    • Describe one trial and what you record: "Read 10 two-digit numbers and count the makes."
    • State the estimate as a fraction of trials: "In 4 of 100 trials she made 4 or fewer, so the estimated probability is 0.04."
    • Use the estimate to answer the question in context, such as whether a result is surprising.

    Common mistakes

    • Assigning digits that do not match the probability, such as 1–7 for 70% (that is 7 of 9 if you skip 0).
    • Forgetting to skip repeats when sampling people without replacement.
    • Running only a few trials and treating the estimate as exact.
    • Thinking the law of large numbers means a "streak" must be followed by the opposite outcome. Each trial is still random.

    5. Practice questions

    AP-style multiple choice. Pick an answer to see the explanation.

    0 / 0 correct

    6. Key terms

    The vocabulary for topic 2.3. Read the list, flip through flashcards, or quiz yourself. For every term in the unit, see the Unit 2 terminology guide.