Skip to content
Home › AP Statistics Math › AP Statistics Tests › Sampling Distributions Test Answer Key with Scoring – AP Statistics

Sampling Distributions Test Answer Key with Scoring – AP Statistics

← Back to the Sampling Distributions test

Last updated: October 22, 2026 · Written by the Math Made Easy math teachers

AP Statistics Math Test Answer Keys – Mathbot, the Math Made Easy robot coach, with free printable test answer keys for AP Statistics

The scoring guide shows the points for each part. Credit requires named conditions, correct parameters of the sampling distribution, and a probability or conclusion in context.

Standards: AP Statistics Unit 2 (2026-27) · Level: Grade 12 AP Statistics

Question 1 Parameter and Statistic (2 points)

(a) The parameter is the mean commute time of all 1,400 students, μ. The statistic is the sample mean, x̄ = 24.5 minutes. (b) No. Different samples contain different students, so x̄ varies from sample to sample (sampling variability).

(a) μ and x̄; (b) no, because of sampling variability

Scoring: 1 point each part.

Question 2 Sampling Distribution of p̂ (3 points)

(a) 180(0.52) = 93.6 and 180(0.48) = 86.4 are at least 10, and 180 is under 10% of all voters. (b) Mean = 0.52, σ = √(0.52 × 0.48/180) = 0.0372. (c) z = (0.47 − 0.52)/0.0372 = −1.34, probability 0.0897.

(a) conditions met; (b) 0.52 and 0.0372; (c) 0.0897

Scoring: 1 point each part.

Question 3 Sample Size and Spread (2 points)

(a) Size 100: a larger sample makes the statistic vary less. (b) n = 25: √(0.5 × 0.5/25) = 0.10; n = 100: √(0.5 × 0.5/100) = 0.05.

(a) n = 100; (b) 0.10 and 0.05

Scoring: 1 point each part.

Question 4 Sample Mean from a Normal Population (3 points)

(a) Mean 125, σ = 6/√9 = 2. (b) The population is normal, so x̄ is normal for every sample size. (c) z = ±(3/2) = ±1.50, probability 0.8664.

119121123125127129131Sample mean (mm)
Shaded between 122 and 128.

(a) 125 and 2; (c) 0.8664

Scoring: 1 point each part.

Question 5 Central Limit Theorem Shape (2 points)

(a) With n = 4 the sampling distribution is still skewed right, similar to the population, since 4 is too small for the Central Limit Theorem. (b) With n = 50, the Central Limit Theorem applies and the distribution is approximately normal.

(a) skewed right; (b) approximately normal

Scoring: 1 point each part with an explanation.

Question 6 Difference of Proportions (3 points)

(a) Mean = 0.10. σ = √(0.6 × 0.4/100 + 0.5 × 0.5/120) = √(0.0024 + 0.002083) = 0.0670. (b) z = (0 − 0.10)/0.0670 = −1.49. Probability = 0.0677.

(a) 0.10 and 0.0670; (b) 0.0677

Scoring: 1 point for the mean, 1 point for the standard deviation, 1 point for the probability.

Question 7 Difference of Means (2 points)

Mean = 30 − 27 = 3. σ = √(52/25 + 42/36) = √(1 + 0.4444) = 1.2019.

mean 3, standard deviation ≈ 1.202

Scoring: 1 point each value.

Question 8 Bias and Variability (3 points)

(a) Method A is centered near 0.40 (mean 0.40), so it has little bias, but its estimates range from 0.22 to 0.58: high variability. (b) Method B is centered near 0.48 (mean 0.48), so it is biased high, but its estimates stay between 0.44 and 0.54: low variability. (c) Method A, because its errors average out and larger samples would shrink its spread, while bias cannot be fixed by a larger sample.

A: unbiased but variable; B: biased but consistent; choose A

Scoring: 1 point each part.

Mis à jour le