
AP Stats Unit 3
Authored by JORGE LAINEZ
Mathematics
9th - 12th Grade
CCSS covered
Used 2K+ times

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This AP Statistics Unit 3 quiz focuses on experimental design and sampling methods, core topics typically covered in Advanced Placement Statistics courses for 11th and 12th grade students. The questions assess students' understanding of fundamental research methodology principles including randomization, control of variables, sampling techniques, and the distinction between observational studies and experiments. Students must demonstrate mastery of concepts such as experimental units, explanatory and response variables, various sampling methods (simple random, stratified, cluster, systematic), sources of bias (response bias, nonresponse, undercoverage), and the conditions necessary to establish causation versus correlation. The complexity requires students to analyze real-world scenarios, identify flawed experimental designs, distinguish between different types of studies, and understand the scope of conclusions that can be drawn from different research approaches. Created by Jorge Lainez, a Mathematics teacher in the US who teaches grades 9-12. This comprehensive assessment serves multiple instructional purposes, from formative evaluation during the experimental design unit to summative review before the AP Statistics exam. Teachers can utilize individual questions as warm-up problems to reinforce specific concepts like identifying experimental units or recognizing sampling bias, while the complete quiz functions effectively as homework practice or in-class review. The varied question formats and real-world contexts make it particularly valuable for helping students connect statistical theory to practical applications in fields ranging from education research to agricultural studies. The quiz aligns with AP Statistics standards covering experimental design principles, sampling distributions, and statistical inference, specifically supporting learning objectives related to planning and conducting surveys and experiments, and drawing appropriate conclusions from statistical studies.
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17 questions
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1.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Which of the following is or are important in designing an experiment?
I. Control of all lurking variables in the experiment.
II. Randomization of subjects to treatment groups.
III. A large number of subjects to control for small-sample variability
I only.
II only.
I and II only.
II and III only.
I, II, and III
Tags
CCSS.HSS.IC.B.3
CCSS.HSS.IC.B.5
2.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
A botanist wants to test how much sunflowers in three different temperature environments - 15°C, 20°C, and 25°C - respirate (oxygen) in mol/L during germination. 300 sunflowers seeds were each given an equal volume of water (150 mL) each week, each separated randomly into three identical greenhouses. The results were collected. Which of the following is TRUE?
The experiment is flawed because the 150 mL of water was not assigned randomly.
The experiment is flawed because the sunflower seeds were not blocked.
The explanatory variables are the glucose levels and the temperature of the environments.
The situation described is an observational study because the botanist did not randomly select the sunflower seeds.
The results of the study are conclusive only on the basis of cause and effect.
Tags
CCSS.HSS.IC.B.3
3.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
John Adams, a history teacher, wanted to determine whether short answer or multiple choice were more effective in testing his 86 students’ recall of over six periods to select from. The students in his first period were given either the short-answer (S) or the multiple choice (M) treatment, via coin flip, into two equally-sized groups. After that, the students may begin their tests. Both treatments contain 20 similar recall questions. This experiment is NOT ideal because John Adams
utilized a completely randomized design as opposed to a matched-pairs design.
did not account for students’ grade on the previous assignment.
did not control for the time given to each treatment group.
did not randomly select the students from the population of interest.
created a study that does not give certainty to its results for its given conditions.
Tags
CCSS.HSS.IC.B.3
CCSS.HSS.IC.B.5
4.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
The U.S. Bureau of Labor Statistics collects sample data from households. In the Consumer Expenditure Survey, approximately 500,000 households have been randomly selected to partake in the survey. 300,000 households responded; only 200,000 returned their results, where 20 strata are separated based on income. What is the sample size of the Consumer Expenditure Survey?
All households of the United States.
The 500,000 households randomly selected.
The 300,000 households that responded to the survey.
The 200,000 households that returned their results.
The 10,000 households per strata.
Tags
CCSS.HSS.IC.B.3
CCSS.HSS.IC.A.1
CCSS.HSS.IC.B.4
5.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Data were randomly collected in 20 cities on the percentage of women in the workforce in 1990 and in 1994. A two-proportion z-test is performed to determine if there is ongoing discrimination. What kind of design was this?
I. A prospective observational study.
II. A cluster sample survey.
III. A retrospective observational study.
I only
II only
III only
II and III only
I and II only
Tags
CCSS.HSS.IC.B.3
6.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Algebra teacher Euler Leonard asked the first 15 students to enter his first period class the amount of time they spend doing their homework using technology. What is a large problem associated with this survey?
Nonresponse of students.
Undercoverage of students.
Response bias from students.
Convenience sample is used.
Voluntary response sample is used.
Tags
CCSS.HSS.IC.B.3
CCSS.HSS.IC.A.1
CCSS.HSS.IC.B.6
7.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Which of the following survey demonstrates response bias?
A survey in which the principle asked the first 100 students to walk in front of his door questions regarding school work.
500 randomly selected students had 300 students refuse to respond to any future phone calls.
20 football students were asked their feelings about sports in their schools.
The principle asked each student in each classroom how much time they spent doing their homework.
"With the price of apples rising because of it, how important is the quality of apples?" is asked of the general consumer in a grocery store.
Tags
CCSS.HSS.IC.B.3
CCSS.HSS.IC.A.1
CCSS.HSS.IC.B.6
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