AP Statistics 3.1: Point Estimates
Calculate a point estimate from a sample statistic and identify the population parameter that the estimate represents in context.
- Syllabus
- Effective Fall 2025
- Course
- AP Statistics
Calculate a point estimate from a sample statistic and identify the population parameter that the estimate represents in context.
An environmental science teacher at a high school with a large population of students wanted to estimate the proportion of students at the school who regularly recycle plastic bottles. The teacher selected a random sample of students at the school to survey. Each selected student went into the teacher's office, one at a time, and was asked to respond yes or no to the following question.
Do you regularly recycle plastic bottles?
Based on the responses, a 95 percent confidence interval for the proportion of all students at the school who would respond yes to the question was calculated as (0.584, 0.816).
The statistics teacher at the high school was concerned about the potential bias in the survey. To obtain a potentially less biased estimate of the proportion, the statistics teacher used an alternate method for collecting student responses. A random sample of 300 students was selected, and each student was given the following instructions on how to respond to the question.
- In private, flip a fair coin.
- If heads, you must respond no, regardless of whether you regularly recycle.
- If tails, please truthfully respond yes or no.
The results of the sample showed that 213 of the 300 selected students responded no. Based on the results of the sample, give a point estimate for the proportion of all students at the high school who would respond yes to the question.
The point estimate is based on expecting 150 students to be required to say no and 150 students to truthfully answer the question. Of the 213 answers of no, we expect that 213-150=63 were from students who truthfully answered the question. That means we expect that the remaining 150-63=87 students truthfully answered the question and responded yes. So the point estimate for the proportion of all students at the high school who would respond yes to the question is 15087=0.58.
Scoring
Parts (a), (b), and (c) are scored as essentially correct (E), partially correct (P), or incorrect (I).
Part (a) is scored as follows:
Essentially correct (E) if the response satisfies the following five components:
Uses a standard error in the form np^(1−p^) where p^ is between 0 and 1.
Shows evidence that p^=0.7 was correctly used in the standard error.
Shows evidence that 0.116 was correctly used as the margin of error in the calculation.
Shows evidence that z∗=1.96 was correctly used as the critical value in the calculation.
Includes a single, positive whole-number answer.
Partially correct (P) if the response satisfies only three or four of the five components.
Incorrect (I) if the response satisfies at most two of the five components.
Notes:
- Using an equation in the form n=MOE2z2p^(1−p^) satisfies component 1.
- A value of 0.21 in the numerator of the standard error implies that p^=0.7 was correctly used in the standard error and satisfies component 2.
- An equation such as 0.816=0.7+ MOE implies that 0.116 was correctly used for the margin of error and satisfies component 3.
- Statements that suggest a whole-number answer is approximate (such as, "about 60" or " ≈60 ") satisfy component 5.
- Algebraic work between the set-up and final answer does not need to be shown to satisfy component 5.
- When calculating the values 0.7, 0.116, or 1.96, ignore minor arithmetic errors or transcription errors if they can be identified by the work shown.
Part (b) is scored as follows:
Essentially correct (E) if the response satisfies the following three components:
Explains why the responses to the survey might differ from the truth about student recycling in this context (for example, the survey was not anonymous, the question was asked by an authority figure).
Explains how the responses to the survey might differ from the truth about student recycling (for example, "students might say yes when they actually don't recycle," "students lie and say yes," "students don't recycle but lie to the teacher").
Describes the effect of the bias on the point estimate (or the proportion, percentage, number of yes responses in the sample) and doesn't contradict the bias described.
Partially correct (P) if the response satisfies only two of the three components.
Incorrect (I) if the response satisfies at most one of the three components.
Notes:
- To satisfy component 1 the response must provide a reason that is based on a bias created by the teacher asking students in person. For example, a response that addresses the wording of the question, voluntary response, or sampling variability does not satisfy component 1.
- To satisfy component 2 the response needs to explicitly contrast what the students say with what they do.
- Evidence used to address component 3 cannot also be used to address component 2. For example, a response that says "Students might lie, producing an estimate that is too high" addresses the effect of the bias on the point estimate but should not be combined with the statement about students lying to infer that students do not actually recycle. However, a response that says "Students may lie and say yes, producing an estimate that is too high" satisfies both components 2 and 3.
- If the response is clearly about the population proportion and not about the point estimate, component 3 cannot be satisfied.
- Statements such as "the interval will be too high" do not satisfy component 3 because they don't specifically address the point estimate.
Part (c) is scored as follows:
Essentially correct (E) if the response gives an answer of 150 in (c-i) and gives an answer of 0.58 (or equivalent) in (c-ii).
Partially correct (P) if the response gives an answer of 150 in (c-i) and gives an answer of 0.42 (or equivalent) in (c-ii);
OR
if the response does not give an answer of 150 in (c-i) but gives an answer of 0.58 (or equivalent) with supporting work in (c-ii).
Incorrect (I) if the response does not meet the criteria for E or P.
Notes:
- In part (c-i) the answer must be a single number. Responses such as "at least 150" or "147-153" are incorrect. However, responses such as "about 150" or " ≈150 " are acceptable.
- In part (c-ii) the proportion can be described verbally (e.g., "87 out of 150").
- In part (c-ii) if the response clearly indicates that 0.58 (or 0.42) is the population proportion, lower the overall score in part (c) by one level (that is, from E to P, or from P to I). Using probability notation such as P( yes ) does not clearly indicate a population proportion.
- In part (c-ii) if the response includes a point estimate of 0.58 or 0.42 but uses a confidence interval as the final answer, lower the overall score in part (c) by one level (that is, from E to P, or from P to I).
- If the answer is incorrect in part (c-i) and the answer in part (c-ii) uses numerator = 87 and denominator =300- answer to (c-i), the response should be scored P.
Complete Response
Three parts essentially correct
Substantial Response
Two parts essentially correct and one part partially correct
Developing Response
Two parts essentially correct and no parts partially correct
OR
One part essentially correct and one or two parts partially correct
OR
Three parts partially correct
Minimal Response
One part essentially correct
OR
No parts essentially correct and one or two parts partially correct
Intent of Question
The primary goals of this question were to assess a student's ability to (1) compute a probability based on a weighted mixture of two populations; (2) compute a conditional probability; and (3) recognize a binomial random variable and compute the probability associated with it.
Solution