AP Statistics: Sampling Types and Bias
Authored by Shelli Ryan
Mathematics
10th - 12th Grade
CCSS covered
Used 692+ times
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About
This quiz comprehensively covers sampling methods and bias in statistics, making it ideal for Advanced Placement Statistics students in grades 11-12. The content focuses on the five primary sampling techniques: simple random sampling (SRS), systematic sampling, stratified sampling, cluster sampling, and convenience sampling. Students must demonstrate their ability to identify each method based on scenario descriptions, distinguish between populations and samples, and recognize various sources of bias including undercoverage, nonresponse, response bias, and voluntary response bias. The questions require students to apply statistical reasoning to real-world contexts, evaluate the quality of sampling methods, and understand how different sampling approaches can affect data collection and validity. Mastery of these concepts demands students recognize the systematic patterns that define each sampling method and critically analyze potential flaws in survey design. Created by Shelli Ryan, a Mathematics teacher in the US who teaches grades 10-12. This quiz serves as an excellent formative assessment tool for students preparing for the AP Statistics exam, particularly useful for reviewing Chapter 4 content on sampling and survey design. Teachers can deploy this as a warm-up activity to gauge student understanding before diving deeper into inferential statistics, assign it as homework to reinforce classroom instruction, or use it as targeted practice before unit tests. The variety of question formats—from straightforward identification to scenario-based analysis—makes it versatile for both individual practice and collaborative learning activities. This assessment aligns with AP Statistics Learning Objectives DAT-2.A through DAT-2.E, which focus on identifying bias in samples, explaining how samples are selected, and describing methods for selecting samples.
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25 questions
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1.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Sam tested every 50th candy bar from the assembly line to make sure there were enough peanuts in each bar. He found 15% did not have enough peanuts. Which type of sampling did he use?
Tags
CCSS.HSS.IC.B.3
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The teacher samples her class by randomly selecting 5 girls and then randomly selecting 7 boys. This type of sampling is called?
Tags
CCSS.HSS.IC.B.3
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The teacher samples her class by selecting every third person on her class list. Which type of sampling method is this?
Tags
CCSS.HSS.IC.B.3
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The teacher samples her class by selecting all students sitting at table 1 and table 5 in her classroom. This sampling technique is called?
Tags
CCSS.HSS.IC.B.3
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The teacher samples her class by picking 10 names from slips of paper in a hat.
Tags
CCSS.HSS.IC.B.3
CCSS.HSS.IC.A.1
CCSS.HSS.MD.B.6
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Farmer Joe separates his apple tree farm into 10 regions. He counts the number of apples produced in just one of the regions and uses that estimate to predict the number of apples produced on the whole farm. This is _______ sampling.
Tags
CCSS.HSS.IC.A.1
CCSS.HSS.IC.B.4
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Source of bias that occurs when you ask people who are EASY to ask
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