In a study, the sample is chosen by dividing by population by voting precinct, and sampling everyone in the precints selected What is the sampling method?

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Answer:

Cluster Sampling

Step-by-step explanation:

In cluster sampling, the population is divided into several categories and random sampling is applied to the selected clusters.

This method is used when the population is not homogeneous and therefore has to be divided into several clusters.

This sampling method is prone to sampling error because it leaves some clusters out. On the other hand it is easier to implement.

The sampling method is to be used is cluster sampling. This method is prone to sampling error. But it is easier to apply.

What is random sampling?

Random sampling is the method of selecting the subset from the set to make a statical inference.

In a study, the sample is chosen by dividing by population by voting precinct, and sampling everyone in the precincts selected.

The method is to be chosen is cluster sampling. In this, the population is divided into several categories and random sampling is applied to be chosen cluster.

It is used where the population is not homogeneous and therefore has to be separated into several clusters.

This method is prone to sampling error because it leaves some clusters out. But it is easier to apply.

More about the sample method link is given below.

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