Sampling and Sample Design Quiz

In the context of statistical testing, what does a sample refer to?

• A completely random subset of the population

• An exact replica of the entire population

• A biased representation of specific attributes

• A smaller, manageable version of a larger group

What is one of the main reasons researchers use sampling in their research projects?

• To increase the complexity of the study

• To ensure biased results

• To collect data from the entire population

• To save time and resources

Which of the following statements is true about non-random sampling?

• It is not suitable for research projects

• It is used to collect data from the entire population

• It is more expensive than random sampling

• It always provides more accurate results than random sampling

What advantage does sampling offer in terms of data collection?

• It ensures 100% response rate from participants

• It allows researchers to ask fewer questions to participants

• It helps gather richer data compared to surveying the entire population

• It eliminates the need for follow-up efforts

Which sampling technique ensures that every element of the population has an equal chance of being part of the selected sample?

• Systematic Sampling

• Convenience Sampling

• Quota Sampling

• Purposive Sampling

In which type of sampling is the population divided into small subgroups based on similarity before randomly selecting elements from each subgroup?

• Multi-Stage Sampling

• Cluster Sampling

• Single Random Sampling

• Stratified Sampling

What is the key characteristic of cluster sampling?

• Assigning quotas for each subgroup

• Dividing the population into homogeneous subgroups

• Selecting every nth element from the population

• Randomly selecting elements from subgroups

Which non-probability sampling technique relies on selecting elements based on availability?

• Snowball Sampling

• Convenience Sampling

• Quota Sampling

• Purposive Sampling

When might researchers use purposive sampling?

• To ensure equal representation of all subgroups

• To save time and resources

• To study individuals with specific characteristics

• To gather a diverse range of opinions

In quota sampling, what is the goal regarding the proportions of traits in the sample?

• Proportions should be based on convenience

• Proportions should match those of the population

• Proportions should be different from the population

• Proportions should be random