Week 2: Sampling Techniques in Statistics

What is a random sampling technique?

• A random sampling technique is a method of selecting a subset of individuals from a population where each individual has an equal probability of being chosen.

• A process that involves selecting individuals from a specific subgroup of the population.

• A technique that ensures only the most qualified individuals are chosen.

• A method of selecting individuals based on their characteristics.

Which of the following is an example of non-random sampling?

• Convenience sampling

• Stratified sampling

• Systematic sampling

• Random sampling

Identify the sampling technique used when selecting every 10th person from a list.

• Systematic sampling

• Random sampling

• Cluster sampling

• Stratified sampling

What is the main difference between random and non-random sampling?

• Non-random sampling includes only individuals from a specific group.

• Random sampling is only used in qualitative research.

• Random sampling is always more accurate than non-random sampling.

• The main difference is that random sampling gives each individual an equal chance of selection, while non-random sampling does not.

In a survey, if participants are chosen based on their availability, what sampling technique is being used?

• Stratified sampling

• Convenience sampling

• Random sampling

• Systematic sampling

Which sampling method involves dividing the population into subgroups and randomly selecting from each?

• Systematic sampling

• Convenience sampling

• Stratified sampling

• Cluster sampling

If a researcher uses a convenience sample, what type of sampling is being applied?

• Random sampling

• Stratified sampling

• Non-probability sampling

• Systematic sampling

What is the benefit of using random sampling in research?

• It allows researchers to manipulate variables more easily.

• It eliminates the need for a control group.

• It guarantees accurate results for all populations.

• It reduces bias and increases representativeness.

In a study, if a researcher selects participants from a specific neighborhood, what type of sampling is this?

• Systematic sampling

• Purposive sampling

• Random sampling

• Stratified sampling

How does stratified sampling differ from simple random sampling?

• Simple random sampling requires a larger sample size than stratified sampling.

• Stratified sampling ensures representation from specific subgroups, while simple random sampling treats the population as a whole.

• Stratified sampling is only used for qualitative research.

• Stratified sampling is faster than simple random sampling.