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Questions and Answers
Stratified random sampling involves grouping members of the population based on their diversity.
Stratified random sampling involves grouping members of the population based on their diversity.
False (B)
Cluster sampling is another term for systematic sampling.
Cluster sampling is another term for systematic sampling.
False (B)
Multi-stage sampling uses only one type of sampling technique throughout the process.
Multi-stage sampling uses only one type of sampling technique throughout the process.
False (B)
In stratified random sampling, elements are selected separately from each stratum.
In stratified random sampling, elements are selected separately from each stratum.
Cluster sampling usually starts at the lowest geographical level before moving up to higher levels.
Cluster sampling usually starts at the lowest geographical level before moving up to higher levels.
Random sampling ensures that every element in the population has an equal chance of being selected for the sample.
Random sampling ensures that every element in the population has an equal chance of being selected for the sample.
In systematic sampling, samples are selected at random intervals from the population list.
In systematic sampling, samples are selected at random intervals from the population list.
Lottery sampling is a technique where every member of the population has an equal probability of being chosen for the sample.
Lottery sampling is a technique where every member of the population has an equal probability of being chosen for the sample.
A sample is always a perfect representation of the entire population under study.
A sample is always a perfect representation of the entire population under study.
The concept of population in research is limited to only people and excludes other elements like objects and events.
The concept of population in research is limited to only people and excludes other elements like objects and events.
