Exploring Random Sampling Methods

The video tutorial covers four random sampling methods: simple random sampling, stratified random sampling, cluster random sampling, and systematic random sampling. Each method is explained with steps and examples, highlighting their unique characteristics and applications in data collection. Simple random sampling ensures unbiased selection, stratified sampling divides the population into homogeneous groups, cluster sampling involves selecting entire heterogeneous groups, and systematic sampling uses a fixed interval for selection.

Which of the following is NOT one of the four random sampling methods discussed?

• Stratified Random Sample

• Convenience Sample

• Simple Random Sample

• Cluster Random Sample

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CCSS.HSS.IC.B.3

What is the main advantage of using a Simple Random Sample (SRS)?

• It is the most cost-effective method

• It ensures each individual has an equal chance of being selected

• It always provides the most accurate results

• It is the easiest method to perform

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CCSS.HSS.IC.B.3

What is the first step in performing a Simple Random Sample (SRS)?

• Recording the responses

• Grouping the subjects based on characteristics

• Numbering the sampling frame from 1 through N

• Using a random number generator

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CCSS.HSS.IC.B.3

In Stratified Random Sampling, what does the model 'sum from all' mean?

• Taking a random sample from a single group

• Taking some participants from all groups

• Taking all participants from some groups

• Taking a random sample from the entire population

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CCSS.7.SP.A.2

Which of the following is a step in performing Stratified Random Sampling?

• Using a system to survey people

• Grouping subjects based on the same characteristics

• Numbering the groups from 1 through N

• Surveying every participant in a selected group

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CCSS.HSS.IC.B.3

In the hotel example for Stratified Random Sampling, why is each floor considered a different stratum?

• Because each floor has different types of guests

• Because each floor has different amenities

• Because each floor has a different view of the city

• Because each floor has a different number of rooms

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CCSS.HSS.IC.B.3

What is the key characteristic of groups in Cluster Random Sampling?

• They are homogeneous

• They are large in size

• They are heterogeneous

• They are small in size

Tags

CCSS.HSS.IC.B.3

In Cluster Random Sampling, what does the model 'all from some' mean?

• Taking some participants from all groups

• Taking a random sample from a single group

• Taking a random sample from the entire population

• Taking all participants from some groups

Tags

CCSS.HSS.IC.B.3

Which sampling method is best to use when people are involved?

• Systematic Random Sampling

• Cluster Random Sampling

• Stratified Random Sampling

• Simple Random Sampling

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CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

In Systematic Random Sampling, what is the first step?

• Using a random number generator to pick a starting number

• Choosing every 10th person

• Numbering each participant from 1 through N

• Recording the responses

Tags

CCSS.HSS.IC.B.3