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Population and Sample in Research
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Population and Sample in Research

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Questions and Answers

Stratified random sampling involves grouping members of the population based on their diversity.

False

Cluster sampling is another term for systematic sampling.

False

Multi-stage sampling uses only one type of sampling technique throughout the process.

False

In stratified random sampling, elements are selected separately from each stratum.

<p>True</p> Signup and view all the answers

Cluster sampling usually starts at the lowest geographical level before moving up to higher levels.

<p>False</p> Signup and view all the answers

Random sampling ensures that every element in the population has an equal chance of being selected for the sample.

<p>True</p> Signup and view all the answers

In systematic sampling, samples are selected at random intervals from the population list.

<p>False</p> Signup and view all the answers

Lottery sampling is a technique where every member of the population has an equal probability of being chosen for the sample.

<p>True</p> Signup and view all the answers

A sample is always a perfect representation of the entire population under study.

<p>False</p> Signup and view all the answers

The concept of population in research is limited to only people and excludes other elements like objects and events.

<p>False</p> Signup and view all the answers

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