AP Statistics · Topic 1.6
Describing the Distribution of a Quantitative Variable Practice
Part of Exploring One-Variable Data.(UNC-1.D)
Practice questions
26
Sample questions
5 of 26 — sign in to practice the rest with adaptive difficulty and mastery tracking.
Sample 1difficulty 2/5
A psychologist plotted IQ scores from a random sample of 200 adults.
Which best describes the shape of this distribution?
- A
Skewed right
- B
Uniform
- Ccheck_circle
Approximately symmetric and unimodal
- D
Bimodal
Why
The bars rise to a single central peak then fall off similarly on each side — symmetric and unimodal.
- A
Sample 2difficulty 2/5
A student is taught the mnemonic SOCS for describing distributions of quantitative data.
What does SOCS stand for?
- A
Symmetry, Outliers, Count, Skew
- B
Standard deviation, Outliers, Count, Sum
- C
Shape, Order, Center, Statistics
- Dcheck_circle
Shape, Outliers, Center, Spread
Why
SOCS = Shape, Outliers, Center, Spread — the four key features used to describe a quantitative distribution.
- A
Sample 3difficulty 2/5
The histogram displays the distribution of scores on a very easy quiz.
Which best describes the shape of this distribution?
- A
Uniform
- B
Skewed right
- Ccheck_circle
Skewed left
- D
Approximately symmetric
Why
The tail extends toward smaller values on the left while most data piles up on the right — a left-skewed distribution.
- A
Sample 4difficulty 2/5
The histogram shows the distribution of home prices in a small town.
Which best describes the shape of this distribution?
- A
Skewed left
- B
Approximately symmetric
- C
Bimodal
- Dcheck_circle
Skewed right
Why
The tail extends to the right (higher values), indicating right-skew, typical of price distributions.
- A
Sample 5difficulty 2/5
A score at the 75th percentile means
- Acheck_circle
75% of scores were at or below this score
- B
Score is 75
- C
75% of scores were higher
- D
Top 25% by mean
Why
Percentile = % of values at or below.
- A