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Sampling Distributions: AP Statistics Math Quiz – PDF Download

    Sampling Distributions – AP Statistics math quiz

    This ap statistics sampling distributions quiz asks 10 multiple-choice questions on sampling distributions, and each answer comes with a short explanation.

    Ten multiple-choice questions check the central ideas of sampling distributions: the mean and standard deviation of a sample proportion and a sample mean, the effect of sample size, the Central Limit Theorem, bias and variability, and differences. Each question has one correct answer; read the explanation after you choose.

    AP StatisticsCommon Core: AP Statistics Unit 2 (2026-27)
    🎯 Sampling Distributions – AP Statistics math quiz
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    Answered: 0 / 10
    Question 1
    A random sample of 80 students is taken from a school where 30% play sports. What is the mean of the sampling distribution of the sample proportion?
    A 0.30
    B 0.30 divided by 80
    C 24
    D 0.0512
    Question 2
    For p = 0.2 and n = 100, what is the standard deviation of the sample proportion?
    A 0.4
    B 0.04
    C 0.0016
    D 0.16
    Question 3
    A sample size is multiplied by 4. What happens to the standard deviation of the sample mean?
    A It is divided by 4
    B It is multiplied by 2
    C It stays the same
    D It is divided by 2
    Question 4
    The curves show sampling distributions of a sample proportion from the same population for n = 100 and n = 400. Which statement is correct?
    BlueOrange0.350.400.450.500.550.600.65Sample proportion
    Blue is wide, orange is narrow.
    A The narrow curve is n = 100 because smaller samples vary less
    B The narrow curve is n = 400 because larger samples vary less
    C The wide curve is n = 400 because larger samples vary more
    D The curves differ in center because the sample sizes differ
    Question 5
    When is the sampling distribution of the sample mean approximately normal for a strongly skewed population?
    A When n = 10
    B When n = 5
    C When n = 50
    D Never, because the population is skewed
    Question 6
    A population has standard deviation 15. What is the standard deviation of the sample mean for n = 25?
    A 0.6
    B 15
    C 3
    D 75
    Question 7
    The dot plots show sample proportions from three methods for estimating p = 0.40 (dashed line). Which method has low bias and low variability?
    ABC0.100.200.300.400.500.600.70Sample proportion
    Methods A, B and C.
    A Method B
    B Method C
    C All three methods
    D Method A
    Question 8
    Sample 1: sigma = 6, n = 36. Sample 2: sigma = 8, n = 64. What is the standard deviation of the difference of sample means?
    A 1.41
    B 2.00
    C 0.29
    D 1.00
    Question 9
    The sampling distribution of a sample proportion is approximately normal with mean 0.50 and standard deviation 0.05. What is the shaded area, P(p-hat < 0.45)?
    0.350.400.450.500.550.600.65Sample proportion
    Shaded area left of 0.45.
    A 0.8413
    B 0.3174
    C 0.1587
    D 0.0500
    Question 10
    Two independent samples have p1 = 0.70 and p2 = 0.55. What is the mean of the sampling distribution of the difference of sample proportions?
    A 0.15
    B 1.25
    C 0.385
    D 0.0225

    🎉 Quiz complete!

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    How does this quiz work?

    Read each question, choose one answer among A, B, C and D, then check it: a short explanation appears after every answer. Your score out of 10 is shown at the end, and you can restart the quiz as often as you like.

    What should you review before the quiz?

    Reread the key facts of the lesson and the worked example. If a question is hard, go back to the matching part of the lesson, then try the quiz again. Write your work on scrap paper: most mistakes come from skipping a step, not from the idea itself.

    Remember:

    • Sample proportion: \(\mu_{\hat{p}}=p\), \(\sigma_{\hat{p}}=\sqrt{\frac{p(1-p)}{n}}\); normal when \(np\ge 10\) and \(n(1-p)\ge 10\).
    • Sample mean: \(\mu_{\,\overline{x}}=\mu\), \(\sigma_{\,\overline{x}}=\frac{\sigma}{\sqrt{n}}\); approximately normal if the population is normal or \(n\ge 30\) (Central Limit Theorem).
    • The standard-deviation formulas need independence: \(n\le 10\%\) of the population when sampling without replacement.
    • Random sampling gives unbiased statistics; a larger \(n\) reduces variability, and quadrupling \(n\) halves the standard deviation.
    • For differences, the means subtract but the variances add.

    How to use this ap statistics sampling distributions quiz

    Retake this ap statistics sampling distributions quiz until every answer is right, then move on to the worksheet and the test.

    Next step after this ap statistics sampling distributions quiz: Sampling Distributions lesson

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