Stratified Sampling

Stratified Sampling

11th Grade

15 Qs

quiz-placeholder

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Stratified Sampling

Stratified Sampling

Assessment

Quiz

Mathematics

11th Grade

Hard

Created by

Anthony Clark

FREE Resource

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In stratified sampling, what is the next step after dividing the population into strata?

Choose a convenience sample from each stratum.

Randomly select a sample from each stratum.

Combine all strata and select a simple random sample.

Select the largest stratum and only sample from it.

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following best describes the difference between simple random sampling and stratified sampling?

Simple random sampling divides the population into strata, while stratified sampling does not.

Stratified sampling can only be used when the population size is known.

Simple random sampling gives every individual an equal chance of being selected, whereas stratified sampling ensures representation from different subgroups.

Stratified sampling is less time-consuming and more cost-effective than simple random sampling.

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the main purpose of stratified sampling?

To ensure that the sample is easy to collect.

To ensure that specific groups within a population are represented.

To select a sample randomly without any specific criteria.

To reduce the cost of sampling.

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

What type of sampling is shown?

Simple Random Sample

Systematic Sample

Cluster Sample

Stratified Sample

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

What type of sampling is shown?

Simple Random Sample

Systematic Sample

Cluster Sample

Stratified Sample

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

What type of sampling is shown?

Simple Random Sample

Systematic Sample

Cluster Sample

Stratified Sample

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

What type of sampling is shown?

Simple Random Sample

Systematic Sample

Cluster Sample

Stratified Sample

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