Asked by Myrnaeliz Rodriguez on Sep 25, 2024

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When the population is divided into mutually exclusive sets,and then a simple random sample is drawn from each set,this is called:

A) simple random sampling.
B) stratified random sampling.
C) cluster sampling.
D) selection bias.

Stratified Random Sampling

A method of sampling from a population where the population is divided into distinct subgroups and samples are drawn from each subgroup.

Simple Random Sampling

A sampling method where each member of the population has an equal chance of being selected, ensuring the sample's representativeness.

Mutually Exclusive

Events that cannot occur at the same time, indicating a scenario where the happening of one event precludes the occurrence of the other.

  • Absorb the principles of sampling and explore the various techniques used in sampling.
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Alfonso Watakunsu5 days ago
Final Answer :
B
Explanation :
This is stratified random sampling, as the population is divided into mutually exclusive sets (strata) and a simple random sample is drawn from each set. This technique is used to ensure representation from each sub-group within a population, and is often more efficient than simple random sampling as it allows for greater precision in estimating population parameters.