AP Statistics 2.12 Sampling Distributions Overview
Describe a sampling distribution by repeatedly sampling, recording a statistic, and using sample size and the CLT to explain its shape.
- Syllabus
- Effective Fall 2025
- Course
- AP Statistics
Describe a sampling distribution by repeatedly sampling, recording a statistic, and using sample size and the CLT to explain its shape.
Emma is moving to a large city and is investigating typical monthly rental prices of available one-bedroom apartments. She obtained a random sample of rental prices for 50 one-bedroom apartments taken from a Web site where people voluntarily list available apartments.
The distribution of the 50 rental prices of the available apartments is shown in the following histogram.
Because Emma does not have the resources to develop the theoretical sampling distribution, she estimates the sampling distribution of the sample median using a process called bootstrapping. In the bootstrapping process, a computer program performs the following steps.
- Take a random sample, with replacement, of size 50 from the original sample.
- Calculate and record the median of the sample.
- Repeat the process to obtain a total of 15,000 medians.
Emma ran the bootstrap process, and the following frequency table is the bootstrap distribution showing her results of generating 15,000 medians.
| Bootstrap Distribution of Medians | |||||
|---|---|---|---|---|---|
| Median | Frequency | Median | Frequency | Median | Frequency |
| 2,345 | 1 | 2,585 | 1 | 2,825 | 247 |
| 2,390 | 13 | 2,587.5 | 171 | 2,837.5 | 7 |
| 2,395 | 18 | 2,600 | 22 | 2,847.5 | 1 |
| 2,400 | 56 | 2,612.5 | 1,190 | 2,872.5 | 317 |
| 2,445 | 4 | 2,625 | 174 | 2,885 | 10 |
| 2,447.5 | 56 | 2,672.5 | 5 | 2,950 | 700 |
| 2,450 | 55 | 2,675 | 1,924 | 2,962.5 | 93 |
| 2,475 | 3 | 2,687.5 | 1,341 | 2,972.5 | 6 |
| 2,495 | 66 | 2,700 | 2,825 | 2,975 | 65 |
| 2,497.5 | 136 | 2,735 | 35 | 2,985 | 12 |
| 2,500 | 1,899 | 2,747.5 | 619 | 2,987.5 | 1 |
| 2,522.5 | 2 | 2,750 | 2 | 2,995 | 6 |
| 2,525 | 945 | 2,795 | 278 | 3,000 | 2 |
| 2,550 | 1,673 | 2,812.5 | 16 | 3,062.5 | 3 |
The bootstrap distribution provides an approximation of the sampling distribution of the sample median. A confidence interval for the median can be constructed using a percentage of the values in the middle of the bootstrap distribution.
Instead of using the sample median as the point estimate for the population median, Emma wants to use an interval estimate. However, computing an interval estimate requires knowing the sampling distribution of the sample median for samples of size 50. Emma has one point, her sample median, in that sampling distribution. Using information about rental prices that are available on the Web site, describe how someone could develop a theoretical sampling distribution of the sample median for samples of size 50.
Part (c):
To determine the sampling distribution of median rental prices for random samples of 50 one-bedroom apartments from this population, Emma would need to obtain every possible sample of 50 one-bedroom apartments from this website and compute the median of each sample. The collection of all possible sample medians is the theoretical sampling distribution for sample median.
Part (d):
Find the percentage of bootstrap medians in the table that are equal to or between the values found in part (d).
Part (e):
The percentage of bootstrap medians between (and including) the values found in part (d) for the 5th and 95th percentiles is
Use your values from parts (d) and (e) to construct and interpret a confidence interval for the median rental price.
Part (f):
From the results in part (d) and part (e), an approximate 96 percent confidence interval for the median rental price of all one-bedroom apartments listed on this website for this city is ($2,500, $2,950). We are approximately 96 percent confident that the median rental price of all one-bedroom apartments listed on this website for this city is between $2,500 and $2,950.
Scoring
This question is scored in four sections. Section 1 consists of parts (a) and (b), section 2 consists of part (c), section 3 consists of parts (d) and (e), and section 4 consists of part (f). Sections 1, 2, 3, and 4 are each scored as essentially correct (E), partially correct (P), or incorrect (I).
Section 1 is scored as follows:
Essentially correct (E) if the response satisfies the following three components:
The correct population (listings of one-bedroom apartments on the website) is identified in part (a).
In part (b), identifying that using the sample mean instead of the sample median overestimates the typical rental price.
The disadvantage of using the sample mean that is reported in part (b) is correctly linked to some feature of the distribution (e.g. skewness) that is evident in the histogram.
Partially correct (P) if the response satisfies only two of the three components.
Incorrect (I) if the response does not meet the criteria for E or P.
Note: Responses that refer to the mean being larger than the median in a skewed right distribution alone is not sufficient to satisfy component 2.
Section 2 is scored as follows:
Essentially correct (E) if the response satisfies the following two components:
Indicates that Emma would need to obtain every possible sample of 50 one-bedroom apartments.
Indicates that Emma would need to compute the median rental price for each sample.
Partially correct (P) if the response satisfies only one of the two components.
Incorrect (I) if the response does not satisfy the criteria for E or P.
Section 3 is scored as follows:
Essentially correct (E) if the response satisfies the following two components:
Correct values for the 5th percentile and the 95th percentile are reported in part (d).
The correct percentage of bootstrap samples that produced sample medians at or between the two values, if they are plausible, reported in part (d) is reported in part (e).
Partially correct (P) if the response satisfies only one of the two components.
Incorrect (I) if the response does not satisfy the criteria for E or P.
Note: Plausible values for part (d) will be considered values between 2,345 and 3,062.5.
Section 4 is scored as follows:
Essentially correct if the response in part (f) satisfies the following three components:
Uses $2500 and $2950 or the values of the percentiles reported in part (d) as the endpoints of the confidence interval.
Indicates an approximate 90 or 96 percent level of confidence or a level of confidence consistent with part (e).
Makes a correct statement in context indicating that the confidence interval is for the median.
Partially correct if the response satisfies only two of the three components.
Incorrect if the response does not satisfy the criteria for E or P.
Note: Since rental prices from the population are discrete values, the true confidence level of the interval from part (d) is unknown. A correctly calculated part (e) is a way to estimate the confidence level; from Emma's sample the confidence level is estimated to be approximately 96 percent. The process described in part (d) for calculating the interval will result in a confidence level of at least 90 percent. For these reasons, confidence levels of either 90 or 96 percent satisfy component 2.
Each essentially correct (E) section counts as 1 point, and a partially correct (P) section counts as 21 point.
Complete Response
Substantial Response
Developing Response
Minimal Response
If a response is between two scores (for example, 221 points), use a holistic approach to decide whether to score up or down depending on the strength of the response and communication.