AP Statistics 1.6: Claims from Quantitative Distributions
Use quantitative distribution features to support a claim, while referring to shape, center, spread, unusual values, and context.
- Syllabus
- Effective Fall 2025
- Course
- AP Statistics
Use quantitative distribution features to support a claim, while referring to shape, center, spread, unusual values, and context.
The following histograms summarize the teaching year for the teachers at two high schools, A and B.
Teaching year is recorded as an integer, with first-year teachers recorded as 1, second-year teachers recorded as 2, and so on. Both sets of data have a mean teaching year of 8.2, with data recorded from 200 teachers at High School A and 221 teachers at High School B. On the histograms, each interval represents possible integer values from the left endpoint up to but not including the right endpoint.
The standard deviation of the teaching year for the 221 teachers at High School B is 7.2. If one teacher is selected at random from High School B, what is the probability that the teaching year for the selected teacher will be within 1 standard deviation of the mean of 8.2 ? Justify your answer.
Part (c):
The interval mean plus or minus 1 standard deviation on either side of the mean is 8.2±7.2, or from 1.0 year to 15.4 years. Because teaching year is recorded as an integer, the interval includes teaching years 1 to 15. The number of teachers in that interval can be found by adding the heights of the five bars in the histogram for the intervals from 1 to 16, which includes 79+34+28+29+19=189. Therefore the probability is 221189≈0.8552.
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 three components:
States that the median is 6 for High School B and the median is 7 for High School A.
Provides a reasonable explanation of how the decision was made.
Provides the definition of the median or explicitly applies the definition of a median as a criterion in reaching their decision.
OR
Essentially correct (E) if the response satisfies the following three components:
States that the median is 6 for High School B and the median is 7 for High School A.
States that High School B shows a skewed distribution (or High School A shows a less skewed distribution).
Provides a reasonable explanation of how the more skewed distribution (High School B) would be the one with a larger separation between the mean and median.
Partially correct (P) if the response satisfies the first component and only one of the other two components required for E.
Incorrect (I) if the response does not meet the criteria for E or P.
Note: An incorrect statistical statement in the response will result in E being lowered to P, but not P being lowered to I. For example,
- If either distribution is described as left skewed, normal, or approximately normal;
- If the discussion would indicate a median different than 7 for High School A or a median different than 6 for High School B.
Part (b) is scored as follows:
Essentially correct (E) if the response satisfies the following two components:
The correct answer that the mean is 7.73.
Enough work to show that the answer was obtained as a weighted average of the two individual means.
Partially correct (P) if the response satisfies only one of the two components.
Incorrect (I) if the response does not satisfy the requirements for E or P.
Part (c) is scored as follows:
Essentially correct (E) if the response satisfies the following three components:
Calculates that the appropriate interval is 1 to 15.4 or 1 to 15 teaching years.
Correctly sums the counts of data values in the numerator based on the intervals provided.
Computes the probability using 221 as the denominator.
Partially correct (P) if the response satisfies only two of the three components;
OR
if the response reports the correct probability (0.8552) without supporting work.
Incorrect (I) if the response satisfies at most one of the three components.
Notes:
- If the response attempts to use the Empirical Rule or normal distribution to provide the desired probability, the response is scored I.
- If an incorrect count is shown in component 2, for instance by including the interval from 16 to 19, then component 3 is satisfied if that incorrect count is divided by 221 to find the reported probability.
- It is acceptable if the count is slightly off because of difficulty reading the exact heights of the bars in the histogram.
- If only one of component 2 or component 3 is missing, but the correct probability (0.8552) is reported, the response can be scored E.
- If the response recognizes that all values in the histogram bins up to 16 fall within one standard deviation of the mean and reports the interval as 1 to 16, component 1 is satisfied.
Complete Response
Three parts essentially correct
Substantial Response
Two parts essentially correct and one part partially correct
OR
Part (a) essentially correct and two parts partially correct
Developing Response
Two parts essentially correct and no parts partially correct
OR
Part (b) or part (c) 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) describe what constitutes a Type II error for a specific hypothesis test; (2) specify a rejection region in terms of values of the sample mean; (3) compute the power of a test for a specific value in the alternative hypothesis; (4) recognize the definition of power; and (5) understand the impact of increasing the sample size on the power of a test.
Solution