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WorksheetsSampling Techniques Quiz
Total questions: 10
Worksheet time: 5mins
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
