
Exploring Sampling Methods in Depth
Interactive Video
•
Mathematics
•
8th - 12th Grade
•
Practice Problem
•
Hard
Standards-aligned
Jackson Turner
FREE Resource
Standards-aligned
Read more
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main purpose of sampling in research?
To increase the population size
To study the entire population
To take a smaller subset of the population
To avoid studying the population
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which sampling method involves selecting every nth member of the population?
Simple Random Sampling
Voluntary Response Sampling
Systematic Sampling
Convenience Sampling
Tags
CCSS.7.SP.A.1
CCSS.HSS.IC.A.1
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key advantage of systematic sampling over convenience sampling?
It is less representative
It is more representative
It is easier to execute
It requires no rules
Tags
CCSS.7.SP.A.1
CCSS.HSS.IC.A.1
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In cluster sampling, how are the members of the population selected?
Based on convenience
From specific clusters or groups
Through voluntary response
Randomly from the entire population
Tags
CCSS.HSS.IC.B.3
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential drawback of cluster sampling if the clusters are homogeneous?
It requires too many participants
It may not be representative of the population
It is too time-consuming
It is too expensive
Tags
CCSS.HSS.IC.B.3
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does stratified random sampling ensure representation?
By selecting every nth member
By selecting entire clusters
By dividing the population into strata and sampling within each stratum
By using convenience sampling
Tags
CCSS.HSS.IC.B.3
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key difference between cluster sampling and stratified random sampling?
Cluster sampling is easier to execute than stratified sampling
Cluster sampling is more representative than stratified sampling
Cluster sampling selects entire groups, while stratified sampling selects individuals within groups
Stratified sampling selects entire groups, while cluster sampling selects individuals within groups
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