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Statistical Sampling techniques

Authored by selva perumal

Information Technology (IT)

University

Used 2+ times

Statistical Sampling techniques
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10 questions

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1.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

If a researcher uses multistage sampling, what is the primary characteristic of this technique?

It only samples from one subgroup of the population.
It selects individuals based on specific characteristics.
It combines multiple sampling methods at different stages.
It requires a complete list of the population.

2.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Which of the following best describes simple random sampling?

Every member of the population has an equal chance of being selected.
Members are selected based on specific characteristics.
Clusters of the population are randomly chosen for sampling.
A fixed interval is used to select members from a list.

3.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Why is a complete sampling frame crucial for effective simple random sampling?

It allows for the random selection of clusters.
It ensures that every member of the population can be selected.
It eliminates the need for random number generators.
It simplifies the sampling process.

4.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

What potential bias might arise from using cluster sampling?

It requires a larger sample size than simple random sampling.
It is difficult to implement in urban areas.
It is more time-consuming than other methods.
It may not accurately represent the entire population.

5.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

In cluster sampling, what happens after clusters are randomly selected?

Clusters are further divided into smaller groups for sampling.
A random sample is drawn from each member of the population.
All members of the selected clusters are included in the sample.
Only a few members from each cluster are sampled.

6.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

If a researcher wanted to ensure equal representation of different age groups in a study, which sampling technique would be most appropriate?

Systematic sampling.
Cluster sampling.
Stratified sampling.
Simple random sampling.

7.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

What is a key advantage of stratified sampling?

It ensures that all subgroups are represented in the sample.
It eliminates the need for a sampling frame.
It is the simplest form of sampling.
It requires less time to implement than other methods.

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