Sampling Techniques Quiz

What is simple random sampling?

• A method of selecting a sample from a population where each individual has an equal chance of being selected.

• A method of selecting a sample from a population where only the most common individuals are selected.

• A method of selecting a sample from a population where each individual is selected based on their age.

• A method of selecting a sample from a population where each individual is selected based on their income level.

Which sampling technique divides the population into subgroups or strata?

• random sampling

• cluster sampling

• stratified sampling

• systematic sampling

In systematic sampling, how is the first element selected?

• By choosing the element with the highest value

• By selecting the element with the lowest value

• By picking the element with the most occurrences

• Randomly

What is cluster sampling?

• Cluster sampling is a sampling technique where the population is divided into clusters or groups, and a random sample of clusters is excluded from the sample.

• Cluster sampling is a sampling technique where the population is divided into clusters or groups, and a random sample of individuals from each cluster is selected.

• Cluster sampling is a sampling technique where the population is divided into clusters or groups, and a random sample of clusters is selected. Then, all individuals within the selected clusters are included in the sample.

• Cluster sampling is a sampling technique where the population is divided into clusters or groups, and a random sample of individuals within each cluster is selected.

What is the advantage of simple random sampling?

• Convenience in selecting the sample

• Equal chance for every member of the population

• Guaranteed representation of all subgroups in the population

• Reduced sampling error

What is the disadvantage of stratified sampling?

• Requires a large sample size

• Difficult to generalize the results

• Time-consuming and complex implementation

• May introduce bias in the sample

How is systematic sampling different from simple random sampling?

• Systematic sampling involves selecting elements from a specific region, while simple random sampling involves selecting elements from the entire population.

• Systematic sampling involves selecting every nth element from a population, while simple random sampling involves randomly selecting elements from a population without any specific pattern or order.

• Systematic sampling involves selecting elements based on their characteristics, while simple random sampling involves selecting elements randomly without considering their characteristics.

• Systematic sampling involves selecting elements based on their popularity, while simple random sampling involves selecting elements randomly without considering their popularity.

What is an example of cluster sampling?

• Sampling a few students from a school and then sampling all the schools within the district.

• Sampling a few schools from a district and then sampling all the students within those schools.

• Sampling a few students from different schools and then sampling all the students within those schools.

• Sampling a few districts and then sampling all the schools within those districts.

What is the main goal of stratified sampling?

• To ensure equal representation of all individuals in the population.

• To exclude certain subgroups or strata from the sample.

• To ensure representative sampling of different subgroups or strata within a population.

• To randomly select individuals from the population.

Which sampling technique is most suitable for large and geographically dispersed populations?

• Stratified sampling

• Random sampling

• Cluster sampling

• Convenience sampling