Bias and Sampling
10th - 12th Grade
•15 Qs
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Bias and Sampling
Quiz
•
Mathematics
•
10th - 12th Grade
•
Practice Problem
•
Medium
+8
Standards-aligned
Kealey Sitler
Used 252+ times
FREE Resource
About this resource
This quiz focuses on sampling methods and sources of bias in statistical studies, covering essential concepts for introductory statistics at the high school level, specifically grades 10-12. Students need to understand the fundamental distinction between populations and samples, recognize different types of sampling bias (including convenience sampling, voluntary response bias, undercoverage, nonresponse bias, and response bias), and identify various sampling methods such as simple random sampling, systematic sampling, and cluster sampling. The questions assess students' ability to differentiate between census and survey procedures, evaluate real-world scenarios to identify potential sources of bias, and understand why random selection is crucial for obtaining representative samples. Students must also demonstrate knowledge of proper random selection techniques and be able to analyze sampling situations to determine which methods would produce the most reliable and unbiased results. Created by Kealey Sitler, a Mathematics teacher in the US who teaches grades 10 and 12. This quiz serves as an excellent tool for introducing students to the foundational concepts of statistical sampling and bias recognition that are essential for any statistical analysis. Teachers can use this assessment as a formative evaluation after covering sampling methods in class, as a review activity before a unit test, or as homework to reinforce key vocabulary and concepts. The quiz works particularly well as a warm-up activity to gauge student understanding before moving into more complex statistical inference topics, and it can be used for targeted practice when students struggle with identifying different types of bias in real-world scenarios. This content directly supports Common Core State Standards for Mathematics, specifically HSS-IC.B.3 (recognize the purposes of and differences among sample surveys, experiments, and observational studies) and HSS-IC.B.4 (use data from a sample survey to estimate a population mean or proportion).
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15 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Source of bias in which people CHOOSE to respond and usually only people with very strong opinions respond
Tags
CCSS.RL.11-12.6
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Source of bias that occurs when you ask people who are EASY to ask
Response Bias
Convenience Sampling Bias
Nonresponse Bias
Voluntary Response Bias
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Marianne wanted to know students' opinion on the new schedule at school. She places students' names in a container and randomly picks out 20 names.
Tags
CCSS.HSS.IC.A.1
CCSS.HSS.IC.B.3
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Why do we randomly select our samples?
Tags
CCSS.HSS.IC.A.1
CCSS.HSS.IC.B.3
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
At a middle school, the 7th graders will conduct a survey for where to go on a field trip. Which method will result in the least biased decision?
Tags
CCSS.HSS.IC.A.1
CCSS.HSS.IC.B.3
6.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Starting at 8:00 Monday morning the first 50 students entering the front doors are selected to be in the sample. This will cause what type of sampling bias?
Response bias
Voluntary Response bias
Cluster sampling
Convenience sampling bias
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A ___ is a small portion of the population used to gather data from.
Tags
CCSS.RI.11-12.4
CCSS.RI.7.4
CCSS.RI.8.4
CCSS.RI.9-10.4
CCSS.RI.9-10.4
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