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AP Stat 4.1 & 4.2 Review Sampling/Experiments

Authored by Jamie Branson

Mathematics

11th - 12th Grade

CCSS covered

Used 83+ times

AP Stat 4.1 & 4.2 Review Sampling/Experiments
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This quiz comprehensively covers statistical sampling methods and experimental design concepts appropriate for Advanced Placement Statistics at the 11th and 12th grade levels. The questions systematically assess students' understanding of sampling techniques (simple random, stratified, cluster, and systematic sampling), sources of bias (undercoverage, response, non-response, and voluntary response bias), and experimental design principles including randomization, control groups, and blinding. Students must demonstrate their ability to identify appropriate sampling methods for specific scenarios, recognize various forms of bias in data collection, distinguish between observational studies and experiments, and understand the components of well-designed experiments including factors, treatments, and blocking. The content requires students to apply statistical reasoning to real-world situations, evaluate the validity of study conclusions, and understand how proper experimental design helps establish causation rather than just correlation. Created by Jamie Branson, a Mathematics teacher in US who teaches grade 11-12. This comprehensive review quiz serves as an excellent tool for formative assessment, allowing students to practice identifying sampling methods and experimental design concepts before major assessments. Teachers can effectively use this quiz for warm-up activities to activate prior knowledge, as homework assignments to reinforce classroom learning, or as review material before AP examinations. The variety of question formats and real-world scenarios make it particularly valuable for helping students connect statistical concepts to practical applications they might encounter on the AP Statistics exam. This quiz directly supports Common Core standards S-IC.3 (recognize the purposes of and differences among sample surveys, experiments, and observational studies) and S-IC.6 (evaluate reports based on data), while also aligning with AP Statistics curriculum requirements for understanding statistical inference and experimental design principles.

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35 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Dylan wants to know how the students at his school rate the cafeteria.  He surveyed his school's basketball team to rate the school cafeteria. Is this a biased sample of the school's population?

Yes, because it is a convenience survey
No, the basketball team has the smartest students
Yes, because it's voluntary survey
No, he should have asked the football team

Tags

CCSS.HSS.IC.B.3

CCSS.HSS.IC.A.1

2.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Identify the Population:
Wicomico County Public Schools randomly selected 230 teachers to find out which technology resource it's teachers feel is the most effective.

230 Teachers
All Wicomico County Teachers
Students
Wicomico County Public Schools

Tags

CCSS.HSS.IC.B.3

CCSS.HSS.IC.A.1

3.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Ana wants to know the average student’s opinion of the tardy policy at her school. Which group of students should she survey in order to achieve the most accurate results?

thirty students who are often tardy
thirty students who are rarely tardy
thirty of her friends
thirty randomly selected students from her school

Tags

CCSS.HSS.IC.B.3

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.4

4.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

A school randomly chose ten English teachers and asked them which type of juice their students would prefer. Which reason best shows why this sample is biased?

The sample didn't include students.
The sample is too small.
The sample can only be accurate if each teacher is included in the sample

Tags

CCSS.HSS.IC.B.3

CCSS.HSS.IC.A.1

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Interview every 10th student who enters the school in the morning.

simple random

voluntary response

systematic

convenience

Tags

CCSS.L.1.6

CCSS.L.3.6

CCSS.RI.K.7

6.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

An independent research company wants to go door to door to survey people in the city of Fontana. The company decides to number all blocks within the city limit, randomly choose 1 block and survey all households on that block.

This is an example of:

Simple Random Sample

Stratified Random Sample

Cluster Random Sample

Systematic Random Sampling

Tags

CCSS.L.11-12.6

CCSS.L.8.6

CCSS.L.9-10.6

CCSS.W.11-12.2D

CCSS.W.9-10.2D

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

I want to estimate the proportion of people in Chula Vista who own cats. I stand outside a local pet store and ask every 4th person whether they own a cat or not. What is the most prominent kind of bias evident?

Undercoverage

Response

Non-Response

Voluntary Response

Tags

CCSS.HSS.IC.B.3

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