Sampling Techniques Quiz 2

Abigail, a biology student, is conducting a study on the biodiversity of a local park and needs to estimate the number of leaves on a large oak tree. What method would be most effective for her to use?

• Count every leaf on the tree

• Make an educated guess based on the tree's size

• Choose several branches randomly, count the leaves on them, and then extrapolate to estimate the total number of leaves.

What is the primary purpose of stratified sampling?

• To reduce bias by ensuring all groups within a population are represented.

• To increase the convenience of the sampling process.

• To select a random sample from a large population.

• To focus solely on a specific subgroup within the population.

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CCSS.HSS.IC.B.3

In cluster sampling, what is a "cluster"?

• A randomly selected individual from the population.

• A group representing the whole population.

• A subgroup of the population sharing common characteristics.

• A group that is geographically bound and represents the population.

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CCSS.HSS.IC.B.3

Which sampling technique involves dividing the population into subgroups and then taking a simple random sample from each subgroup?

• Simple random sampling

• Systematic sampling

• Stratified sampling

• Cluster sampling

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CCSS.HSS.IC.B.3

What is a key difference between stratified sampling and cluster sampling?

• Stratified sampling requires knowledge of subgroup characteristics, while cluster sampling does not.

• Cluster sampling selects entire groups, while stratified sampling selects individuals from each subgroup.

• Stratified sampling is used only for large populations, while cluster sampling is used for small populations.

• Cluster sampling is less precise than stratified sampling.

What is the main disadvantage of using convenience sampling?

• It is time-consuming.

• It can lead to sampling bias.

• It requires a list of the entire population.

• It is more expensive than other sampling methods.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Which sampling method is typically used when the population is spread over a large geographic area and complete lists are difficult to obtain?

• Simple random sampling

• Stratified sampling

• Cluster sampling

• Systematic sampling

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CCSS.HSS.IC.B.3

What is the primary advantage of using cluster sampling in large geographical areas?

• It reduces the cost and time of data collection.

• It increases the accuracy of the sample.

• It eliminates the need for a sampling frame.

• It allows for more detailed analysis of subgroups.

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CCSS.HSS.IC.B.3

How does systematic sampling differ from simple random sampling?

• Systematic sampling uses a fixed interval for selection, while simple random sampling does not.

• Systematic sampling can only be used with numerical data.

• Simple random sampling is less structured in approach.

• Systematic sampling requires a smaller sample size.

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CCSS.HSS.IC.B.3

Mrs. Trahan samples her class by selecting 5 girls and 7 boys.  This type of sampling is called?

• Stratified
• Systematic
• Simple
• Cluster

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CCSS.HSS.IC.B.3