Exploring Sampling Methods in Depth

Exploring Sampling Methods in Depth

Assessment

Interactive Video

Created by

Jackson Turner

Mathematics

8th - 12th Grade

Hard

The video covers various sampling methods, including systematic, cluster, and stratified random sampling. It explains each method with examples, discusses their pros and cons, and provides practice scenarios to reinforce learning.

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

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

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

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

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

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

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might stratified random sampling be more complex to execute than other methods?

It is less representative

It requires no prior knowledge of the population

It involves multiple steps and careful consideration of characteristics

It is more time-consuming

9.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If a school is divided by floors and everyone on the second floor is sampled, which method is being used?

Convenience Sampling

Stratified Random Sampling

Cluster Sampling

Systematic Sampling

10.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When a list of names is used and every 15th name is selected, which sampling method is this?

Systematic Sampling

Voluntary Response Sampling

Stratified Random Sampling

Cluster Sampling

Explore all questions with a free account

or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?